Quelle: I-KI-BA Bangert Herzogenrath Aachen 2024
Global freedom, peace, environmental protection, progress and prosperity
We firmly believe that scientific exploration and the complete decoding of human intelligence, of human consciousness in general, and of identity awareness in particular, is the most important and at the same time utmost benefit of humanity.
The objective justification of this priority hypothesis is very complex and also affects many other areas of research - especially neurosciences, economics, ecology, Computer science and the theory of science. You will find the detailed justification in the appendix to download as PDF file.
Just as David Chalmers has put it together with many others, it is about the 'hard problem' of consciousness and a successful modeling of those solutions in the artificial Intelligence and not primarily as a technical application, but rather as proof of the coherence of the solutions of the neurosciences.
Now you will surely wonder what a successful, non-commercial modeling of human, intelligent consciousness is as a purely scientific application of an artificial one Computer Intelligence (AI) has to do with the above-mentioned theme of global freedom, peace, environmental protection, progress and prosperity in direct relation. This connection will be analyzed and presented in detail in the following chapters of this study.
The research of the neurosciences is to be seen as a significant groundbreaking main science and for example the computer science is seen in this context 'only' as Auxiliary science, even though the IT challenges are extremely demanding.
We politely point out that in this study, neurophilosophy is considered and applied as a sub-science of neuroscience.
Axel Arnold Bangert Herzogenrath solves the Hard Problem, the Qualia-Problem of Artificial Intelligence ( AI ) and the Identity Theory Model Problem for Migration Theories - Axel Arnold Bangert Herzogenrath löst das Harte Problem , das Qualia-Problem der Künstlichen Intelligenz ( KI ) und das Identitätstheorie Modell Problem für die Migrationstheorien Auszug: ... eine ausführliche Darstellung der Widerlegung finden Sie auf der Präsenz von I-Ki-BA . Dieses Thema hängt in sofern mit den Migrationstheorien und den diesbezüglichen Identitätstheorien zusammen, als Identität in engestem Bezug zu den Neurowissenschaften hier zum ersten Mal algorithmisch erzeugt werden könnte. Letztlich werden damit dann Integrations- und Inklusionstheorien zum ersten Mal modellgestützt valide überprüfbar ... das Spezialgebiet nennt sich Cultural Neuroscience. Andere Spezialgebiete sind z.B. die Social Neuroscience, Cognitive Neuroscience, Affective Neuroscience, Neuroanthropology etc. Es wird erwartet, dass sich das Arbeitsgebiet und der Forschungsumfang der Cultural Neuroscience exponentiell steigen wird. Dies hängt mit der zu erwartenden exponentiellen Steigerung der Migrationsraten durch Klimamigration zusammen. Zu diesen und anderen Zusammenhängen, finden Sie Kurse in
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Aachen Bangert - RWTH Themen - Bangert Aachen, Artificial General Intelligence AGI -- Künstliche Allgemeine Intelligenz KAI > 10 Jahre, Extensions of Moser-Bangert Theory, Bangert Theory, Moser Theory, Locally Minimal Solutions, Deep Reinforcement Learning, Neuromorphic Hardware, Human Augmentation, 5G, Serverless PaaS, Digital Twin, Quantum Computing, Volumetric Displays, Brain-Computer Interface, Conversational User Interfaces, Smart Workspace,, Auf dem Höhepunkt:, Augmented Data Discovery, Edge Computing, Smart Robots, IoT Platform, Virtual Assistants, Connected Home, Deep Learning, Machine Learning, Autonomous Vehicles, Nanotube Electronics, Cognitive Computing, Blockchain, Commercial UAVs (Drones),, Im Absteigen:, Cognitive Expert Advisors, Enterprise Taxonomy and Ontology Management, Software-Defined Security, Augmented Reality,, Aufsteigende Desillusionsphase:, Virtual Reality, 1. AIBrain, Based in California AIBrain is an artificial intelligence company that builds AI solutions for smartphones and robotics applications. It three products: AICoRE the AI agent iRSP an intelligent robot software platform and Futurable a future simulation AI game where every character is a fully autonomous AI. The focus of their work is to develop artificial intelligence infused with the human skill set of problem solving learning and memory.,, 2. Amazon, The online retail giant offers both consumer and business-oriented AI products and services. Amazon Echo brings artificial intelligence into the home through the intelligent voice server Alexa. For AWS the company has three primary services: Lex a business version of Alexa Polly which turns text to speech and Rekognition an image recognition service 3. Anki Anki is dedicated to bringing consumer robotics into everyday life through its Cozmo and Anki Overdrive products. Cozmo is Anki’s flagship robot. Cozmo has been described as one of the most sophisticated consumer robots to date due to its emotional responses while Overdrive is a car racing game complete with track.,, 4. Apple, Apple has acquired four artificial intelligence startups within the past two years demonstrating its big step into the artificial intelligence sphere. One of them became the bases for FaceID a facial recognition security system. The bulk of the company’s work is around Siri Apple’s virtual assistant but as usual Apple is tight-lipped about plans. It recently poached Google’s AI chief which will undoubtedly help its efforts and further the acrimony with Google.,, 5. Banjo, Raising over $100 million last year Banjo makes use of artificial intelligence to comb through social media and identify real-time events and situations that are important to its partners. The startup was developed after the Boston Marathon bombing in 2013 as a way for companies to analyze social media to make better decisions move faster, and change the way they understand and interact with people all over the world.,, 6. CloudMinds, CloudMinds is developing what it calls an end-to-end cloud intelligence (CI) system called Human Augmented Robotics Intelligence (HARI) platform for robots. CI is different from AI in that it combines machines with humans rather than treating them as separate entities. This allows the robot to be controlled by human beings. It also offers the Mobile Intranet Cloud Services (MCS) provides information security for remote robot control.,, 7. Deepmind, Not a product company Deepmind is nonetheless a major leader because of its role in AI research. Based in London it recruits heavily from Oxford and Cambridge which are leading the way in AI and ML research. Its research papers are widely read as soon as they are published. Google (see below) acquired DeepMind.,, 8. Facebook, Facebook AI Research (FAIR) has four artificial intelligence labs around the world all designed to give better understanding to how people communicate. The company has also made four recent AI-related acquisitions the most recent being Ozlo to help Messenger build out a more elaborate virtual assistant for users.,, 9. Google, Google clearly a leader in AI is on a massive AI acquisition binge having acquired 12 AI startups in four years. Google is deeply invested in furthering artificial intelligence capabilities. Rather than selling a product to the market Google’s AI efforts are all oriented toward improving its services. It has a major software project in TensorFlow as well as its own Tensor AI chip project.,, 10. H2O, Used by more than 100000 data scientists at more than 12600 organizations worldwide H2O claims to be "the world's leading open source deep learning platform." The company's products include its H2O platform the Deep Water interface that unites leading open source deep learning tools with H2O the Sparkling Water framework that combines H2O and Spark the Steam AI Engine for developers and Driverless AI which promises "AI to do AI." Its customer list includes large enterprises like Capital One Progressive Insurance Transamerica Comcast Macy's and Walgreens.,, 11. IBM, IBM has been a leader in the field of artificial intelligence since the 1950s. Its efforts these days are around IBM Watson such as a AI-based cognitive service AI software as a service and scale-out systems designed for delivering cloud-based analytics and AI services. It too has been acquisitive purchasing three AI startups in recent years.,, 12. iCarbonX, iCarbonX is a Chinese biotech startup which uses artificial intelligence to provide personalized health analyses and health index predictions. It has formed an alliance with seven technology companies from around the world that specialize in gathering different types of health-care data and will use algorithms to analyze genomic physiological and behavioral data and provide customized health and medical advice.,, 13. Intel, Intel has conducted two major AI acquisitions Nervana and Movidius. Nervana is a deep learning processor while Movidius is geared toward neural networks on Windows systems. In addition to numerous acquisitions Intel has also invested in several AI startups along with Microsoft. Intel is also providing AI acceleration for Microsoft’s Bing search engine via its Arria FPGA processors.,, 14. Iris AI, Iris AI helps researchers sort through scientific work and research to find the relevant information and as it is used it learns how to make better searchers. Since its launch 120 000 people have tried the service some becoming regular users. It recently released Iris.ai 4.0 which adds the Focus tool an intelligent mechanism to refine and collate a reading list of research literature cutting out a huge amount of manual effort.,, 15. Microsoft, Microsoft has a mix of consumer-facing and business/IT AI projects. On the consumer side it has Cortana the digital assistant that comes with Windows and now is available for smartphones other than Windows Phone and the chatbot Zo that talks like a teenager. On its Azure cloud service Microsoft has AI services such as bot services machine learning and cognitive services.,, 16. Next IT, Next IT is one of the original companies that pioneered chatbots and has helped companies such as Alaska Airlines and Amtrak to easily interact with customers to answer and solve their problems. Their artificial intelligence capabilities allow them to help organizations in a variety of industries including healthcare and insurance.,, 17. Nvidia, Nvidia’s emergence as an AI leader was hardly overnight. It has been promoting its CUDA GPU programming language for nearly two decades. AI developers have come to see the value in the GPU’s massively parallel processing design and embraced Nvidia GPUs for machine learning and artificial intelligence. One area Nvidia is making a big push is in self-driving cars but it is one of many efforts.,, 18. OpenAI, OpenAI has something of an open source spirit. It’s a research firm that aims to promote and develop AI so as to benefit humanity as a whole. The organization aims to "freely collaborate" with other institutions and researchers by making its patents and research open to the public. It has an all-star staff of employees who publish widely-read research papers and offer open source tools.,, 19. Salesforce, Over the past two years Salesforce has acquired three AI companies and recently announced Salesforce Einstein their artificial intelligence service. Their latest initiative which includes a team of 175 data scientists uses machine learning to help employees more efficiently perform tasks by simplifying and speeding them up. In addition to Salesforce’s own employees Einstein will be available for customers who can build their own applications.,, 20. SoundHound, SoundHound is known for its music-identification app Hound but it also has one of the most advanced and accurate platforms for natural language processing for doing all kinds of voice-to-text queries. Among those enterprises who have implemented it are Samsung Nvidia Sony’s Xperia Yelp and Uber.,, 21. Twilio, Twilio is a cloud communications platform as a service (PaaS) company that allows software developers to integrate text messages phone calls and video calls into applications through the use of various APIs. Twilio's services are accessed over HTTP and are billed based on usage.,, 22. Twitter, Twitter has invested significant funds into artificial intelligence. They have acquired 4 AI companies to date. Their latest acquisition of the AI tech startup Magic Pony cost them a cool $150 million. A while back Twitter introduced a so-called algorithmic timeline that ranked tweets based on relevance instead of the usual reverse chronological order. The company has also added AI to recommend certain tweets in users' timelines.,, 23. ViSenze, ViSenze’s artificial intelligence technology works by recommending visually similar items to users when shopping online. ViSenze utilizes machine learning and computer vision algorithms which process and analyze millions of visual content. It uses visual sensing to find a match for an item online then offers filters for pricing similarity and availability.,, 24. X.ai, Geared for busy users x.ai’s intelligence virtual assistant Amy helps users schedule meetings. The concept is simple — if you receive a meeting request but don’t have time to work out logistics you copy Amy onto the email and she handles it. Through machine learning and natural language processing Amy schedules the best time and location for your meeting based on your preferences and schedule.,, 25. Zebra Medical Vision, Zebra Medical Systems is an Israeli company that applies deep learning techniques to the field of radiology. It claims it can predict multiple diseases with better-than-human accuracy by examining a huge library of medical images and a specialized examination technology. It recently moved its algorithms to Google’s cloud to help it scale and offers $1 medical scans. Alan Macintosh Alan Turing Alexander Rausch Alexandra Ruez Alexandre Cadain Alexandre Lebrun Alexandre Sapet Alexandre Valette Alexia Audevart Alfred North Whitehead Alice Coucke Alix de Sagazan Allen Newell Alonzo Church Amyne Berrada André Pietri Andrej Karpathy Andrew Ng Anis Sahbani Anish Athalye Anna Patterson Anthony Aguirre Antoine Bordes Antoine Jeanjean Aristote Arnaud Le Roux Arthur Sadoun Arthur Samuel Assia Soukane Aurélie Jean Aurélien Garivier Avrim Blum Axelle Tessandier Barbara Belvisi Bénédicte de Raphélis Soissan Benoît Gourdon Benoit Heitz Bernard Ourghanlian Bertrand Braunschweig Bertrand Russell Bill Gates Brent Hoberman Brian Krzanich Camille Pène Carlo Ratti Caroline Chavier? 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Allen Jan Pfeifes Javier de la Torre Jean Audouze Jean Ponce Jean Senellart Jean-Baptiste Lefèvre Jean-Claude HEUDIN Jean-David Chamboredon Jean-Gabriel Ganascia Jean-Hervé Lorenzi Jean-Michel Cambot Jean-Paul Delahaye Jean-Paul Haton Jean-Philippe Desbiolles Jean-Régis de Vauplane Jeff Bezos Jeff Dean Jeffrey Dean Jen-Hsun Huang Jeremy Harroch Jérôme Lang Jérôme Monceaux Jérôme Pesenti Jim Keller Jodie Wallis Joëlle Pineau John Giannandrea John Laird John McCarthy John Somorjai Joseph Weizanbaum Julien Hobeika Julien Simon Julien-Henri Maurice KangKang Yin Kenza Ibnattya Kevin Kwok Kirill Eremenko Laura Grigori Laurence Cornez Laurence Devillers Laurent Alexandre Laurent Fourchard Lee Man-Seob Leonore Blum Lionel Janin Logan Engstrom Lotfi Zadeh Luca Comparini Ludovic Denoyer Ludovic Ulrich Ludwig Wittgenstein Lukas Erlebach Lynn Andrea Stein Maël Primet Malte Widenka Manu Gulati Manuel Blum Manuel Davy Manuel Mirabel Marc Duranton Marc Schoenauer Margaret Masterman Maria-Irina Nicolae Mark Zuckerberg Marvin Minsky Maryne Cotty-Eslous Mathieu Sinn Max Tegmark Maya Gupta Meia Chita-Tegmark Mélanie Ducoffe Merouane Debbah Michael Cafarella Michael Fester Michel Béra Michel Lutz Michel Melkanoff Michèle Sebag Michiel van de Panne Mickael Guerin Mikel Artetxe Milie Taing Monique Baron Monique Dagnaud Mounir Mahjoubi Mustafa Suleyman Myriam Ferran Nathan Rochester Nathanaël Ackerman Newton Howard Nicolas Bouzou Nicolas Marlier Nicolas Meric Nicolas Miailhe Nicolas Negroponte Nicolas Nova Nicolas Sadirac Nicolas Sekkaki Niklas Zennström Nikos Paragios Nikunj Oza Nils Schaetti Noam Brown Nozha Boujemaa Olivier Bousquet Olivier Mégean Orit Shifman Pascal Pascal Bezuel Pascal Cochelin Pascal Vincent Patrick Johnson Patrick Séguéla Paul Allen Paul Duan Paul Rosenbloom Percy Liang Peter Diamandis Peter Richtarik Phil Libin Philippe Cassoulat Philippe Thomas Pierre Aigrin Pierre Schnaeffer Pierre-Antoine Rizk Pooja Rao Pradeep Ravikumar Rachel Delacour Ramesh Caussy Ramon Lulle Rand Hindi Raphaël Cherrier Raphael Hoffmann Raquel Urtasun Raul Bravo Ray Kurweil Rémi Aubert Rémi Munos Rick Levin Robin Li Yanhong Rodney Brooks Rodolphe Gelin Romain Passilly Romain Sambarino Rowan Trollope Rudolf Carnap Ryan Scout Saad Zniber Salvador Luria Sandrine Macé Satya Nadella Saul Perlmutter Scott Huffman Sean Meyn Seann Gardiner Sebastian Nowozin Sebastian Thrun Serge Tisseron Seungil You Sheena Urwin Spencer Crawley Stefan Behrens Stéphane Mallard Stéphane Mallat Stephen Hawkins Steve Wozniak Stuart Russell Sundar Pichai Susan Wojcicki Swami Sivasubramanian Sylvain Theveniaud Terry Winograd Thibault Neveu Thierry Breton Thierry Nicol Thomas Hobbes Thomas Kerjean Thomas Solignac Thomas Tributsch Tim Cook Tim Tuttle Tom Gruber Tuomas Sandholm Valérie Peugeot Viktoriya Krakovna von Neumann Walter Rosenblith Wolfgang von Kempelen Xavier Dalloz Xavier Niel Xue Bin Peng Yaacob Ibrahim Yann Fleureau Yann Gouedo Yann LeCun Yoshihisa Yamamoto Yoshua Bengio Yu Dong Zhang Tong Startups:, Aivo DeepVision VU Security Black AI BRiN Fillr Filtered Fincast Heliex HIVERY Hummingbird AI PTY Ltd. 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Ltd. CAIWA Service Chainer Chat Plus ChatCenter.io Cogent Labs Cooori Couger Curon Customer Rings Deaps DeepAnalytics Dentry EduLab Eltes Empath EXA AI SmartQA Farmnote Color FastAlert Foxsy Glit Gozal Headwaters Heroz Japan hitTO Holoeyes HowMa HRMos Jinjer Kakeibon Karte Kibi+ Kibiro Kiducoo AI AI KI Aachen Bangert Machine-Learning Symbolic AI – When access to digital computers became possible in the middle 1950s AI research began to explore the possibility that human intelligence could be reduced to symbol manipulation. Good Old Fashioned AI – Sub-symbolic – Early cybernetics and brain simulation – Behavior based AI – Subsumption architecture – Nouvelle AI – Soft computing – Computational creativity – Machine learning Neural networks – Hybrid neural network – Recurrent neural network – Perceptron Support Vector Machines (SVM) Fuzzy systems – Evolutionary computation including: Evolutionary algorithms – Genetic algorithm – Differential evolution Metaheuristic and Swarm Intelligence Ant colony optimization Particle swarm optimization Brain Emotional Learning Based Intelligent Controller – Probabilistic methods including: Bayesian network Hidden Markov model Kalman filter Chaos theory Statistical AI – By application Applications of artificial intelligence – Artificial Creativity – Artificial life – Automated planning and scheduling – Automated reasoning – Automation – Automatic target recognition – Biologically inspired computing – Computer Audition – Speech recognition – Speaker recognition – Computer vision – Image processing – Intelligent word recognition – Object recognition – Optical mark recognition – Handwriting recognition – Optical character recognition – Automatic number plate recognition – Facial recognition systems – Silent speech interface – Diagnosis (artificial intelligence) – Expert system – Decision support system – Clinical decision support system – Game artificial intelligence – Computer game bot – Video game AI – Computer chess – Computer Go – General game playing – General video game playing – Game theory – Hybrid intelligent system – Intelligent agent – Agent architecture – Cognitive architecture – Intelligent control – Knowledge management – Concept mining – Data mining – Text mining – Process mining – E-mail spam filtering – Information extraction – Activity recognition – Image retrieval – Automatic image annotation – Named-entity extraction – Coreference resolution – Named-entity recognition – Relationship extraction – Terminology extraction – Knowledge representation – Semantic Web – Machine learning – Constrained Conditional Models – Deep learning – Neural modeling fields – Natural language processing – Chatterbots – Language identification – Natural language user interface – Natural language understanding – Machine translation – Statistical semantics – Question answering – Semantic translation – Nonlinear control – Pattern recognition – Optical character recognition – Handwriting recognition – Speech recognition – Face recognition – Robotics – Behavior-based robotics – Cognitive – Cybernetics – Developmental robotics – Epigenetic robotics – Evolutionary robotics – Speech generating device – Strategic planning – Vehicle infrastructure integration – Virtual Intelligence – Virtual reality – Further AI design elements Action selection – Affective computing – AI box – AI-complete – Algorithmic probability – Artificial intelligence systems integration – Automated reasoning – Autonomic Computing – Autonomic Networking – Backward chaining – Bayesian network – Bio-inspired computing – Artificial immune systems – Blackboard system – Chatterbot – Combs method – Commonsense reasoning – Computational humor – Computer-assisted proof – Conceptual dependency theory – Darwin machine – Description logic – Frame problem – Game theory – Grammar systems theory – Informatics (academic field) – Intelligent control – Kinect – LIDA (cognitive architecture) – Means-ends analysis – Moravec's paradox – Music and artificial intelligence – Ordered weighted averaging aggregation operator – PEAS – Performance Environment Actuators Sensors Percept (artificial intelligence) – Perceptual Computing – Rule-based system – Self-management (computer science) – Soft computing – Software agent – Intelligent agent / Rational agent – Autonomous agent – Automated planning and scheduling Control system Hierarchical control system Networked control system Distributed artificial intelligence – Multi-agent system – Monitoring and Surveillance Agents Embodied agent – Situated AI Sussman Anomaly – Wetware (brain) – AI projects List of artificial intelligence projects Automated Mathematician (1977) – Allen (robot) (late 1980s) – Open Mind Common Sense (1999 - ) – Mindpixel (2000–2005) – Cognitive Assistant that Learns and Organizes (2003–2008) – Blue Brain Project (2005-present) – attempt to create a synthetic brain by reverse-engineering the mammalian brain down to the molecular level. Google DeepMind (2011) – Human Brain Project (2013-present) – IBM Watson Group (2014-present) – business unit created around Watson to further its development and deploy marketable applications or services based on it. AI applications Integrated AI systems AIBO – Sony's robot dog. It integrates vision hearing and motorskills. Asimo (2000 to present) – humanoid robot developed by Honda capable of walking running negotiating through pedestrian traffic climbing and descending stairs recognizing speech commands and the faces of specific individuals among a growing set of capabilities. MIRAGE – A.I. embodied humanoid in an augmented reality environment. Cog – M.I.T. humanoid robot project under the direction of Rodney Brooks. QRIO – Sony's version of a humanoid robot. TOPIO TOSY's humanoid robot that can play ping-pong with humans. Watson (2011) – computer developed by IBM that played and won the game show Jeopardy! It is now being used to guide nurses in medical procedures. Purpose: Open domain question answering Technologies employed: Natural language processing Information retrieval Knowledge representation Automated reasoning Machine learning Intelligent personal assistants Intelligent personal assistant – Amazon Alexa – Assistant – Braina – Cortana – Google Assistant – Google Now – Siri – Viv – AI development AI algorithms Open-source AI development tools OpenAIR – OpenCog – OpenIRIS – RapidMiner – TensorFlow – Psychology and AI Artificial psychology AI effect Uncanny valley History of artificial intelligence History of artificial intelligence by period or events Progress in artificial intelligence Timeline of artificial intelligence Asilomar Conference on Beneficial AI (2017) by region by subject AI effect – as soon as AI successfully solves a problem the problem is no longer considered by the public to be a part of AI. This phenomenon has occurred in relation to every AI application produced so far throughout the history of development of AI. AI winter – GOFAI History of machine learning (timeline) History of machine translation (timeline) Moore's Law – observation that over the history of computing hardware the number of transistors in a dense integrated circuit has doubled approximately every two years. One way this relates to AI is that hypothetically a computer would need at least as much capacity as a human brain to be able to be programmed to be as smart as a human. So as long as the aforementioned rate of development met or beat the 2-year doubling time one could roughly forecast when a computer would have as much memory and calculation capacity as a human brain a milestone which was reached in 2010. Though it may take as much as 3 magnitudes (1000 times) more computer capacity (since computers calculate things in a much more linear fashion) to emulate the massively parallel structure of the human brain. At a doubling time of 2 years an increase in capacity by 1000-fold would take a little less than 18 years (9 doublings) if reaching the limit of integrated circuit technology did not pose an obstacle before then. History of natural language processing Timeline of natural language processing software History of optical character recognition (timeline) AI safety Existential risk from advanced artificial intelligence Friendly AI – hypothetical AI that is designed not to harm humans and to prevent unfriendly AI from being developed AI takeover – point at which humans are no longer the dominant form of intelligence on Earth and machine intelligence is Superintelligence – AI may grow to such an advanced state to become as proportionately superior to humans as humans are to ants. Theoretically there would be little humans could do to prevent such an intelligence from reaching its goals. Intelligence explosion – through recursive self-improvement and self-replication the magnitude of intelligent machinery could surpass human ability to resist it. Artificial intelligence as a global catastrophic risk AI and the future Artificial general intelligence (Strong AI) – hypothetical artificial intelligence that matches or exceeds human intelligence — an intelligent machine that could perform intellectual tasks at least as well as a human Aspects or features Self-replicating machines – smart computers and robots would be able to make more of themselves in a geometric progression or via mass production. Or smart programs may be uploaded into hardware existing at the time (because linear architecture of sufficient speeds could be used to emulate massively parallel analog systems such as human brains). Recursive self improvement (aka seed AI) – speculative ability of strong artificial intelligence to reprogram itself to make itself even more intelligent. The more intelligent it got the more capable it would be of further improving itself in successively more rapid iterations potentially resulting in an intelligence explosion leading to the emergence of a superintelligence. Hive mind – Robot swarm – Technological singularity – the development of strong AI may cause an intelligence explosion in which greater-than-human intelligence emerges radically changing civilization and perhaps even human nature. The TS has been identified by Berglas (2012) and others to be an existential risk. Singularitarianism – Human enhancement – humans may be enhanced either by the efforts of AI or by merging with it. Transhumanism – philosophy of human transformation Posthumanism – people may survive but not be recognizable in comparison to present modern-day humans. Cyborgs – Mind uploading – Philosophy of artificial intelligence Philosophy of artificial intelligence Artificial brain – Philosophical views of artificial consciousness – User illusion – Artificial intelligence and law – Chinese room – Cognitive science Artificial consciousness Embodied cognitive science Embodied cognition – Ethics of artificial intelligence – Philosophy of the Mind – Computational theory of mind – Functionalism – Physical symbol system – Synthetic intelligence – Transhumanism – See Artificial intelligence and the future below Turing Test – Artificial intelligence debate Supporters of AI Marek Rosa Owner of goodAI Critics of AI Stephen Hawking – AI "could spell end of human race""Hawking warns AI 'could spell end of human race'". phys.org. Phys.org. 3 December 2014. Retrieved 20 April 2015. Artificial intelligence in fiction Artificial intelligence in fiction – Some examples of artificially intelligent entities depicted in science fiction include: AC created by merging 2 AIs in the Sprawl trilogy by William Gibson Agents in the simulated reality known as "The Matrix" in The Matrix franchise Agent Smith began as an Agent in The Matrix then became a renegade program of overgrowing power that could make copies of itself like a self-replicating computer virus AM (Allied Mastercomputer) the antagonist of Harlan Ellison's short novel I Have No Mouth and I Must Scream Amusement park robots (with pixilated consciousness) that went homicidal in Westworld and Futureworld Angel F (2007) – Arnold Rimmer – computer-generated sapient hologram aboard the Red Dwarf deep space ore hauler Ash – android crew member of the Nostromo starship in the movie Alien Ava – humanoid robot in Ex Machina Bishop android crew member aboard the U.S.S. Sulaco in the movie Aliens C-3PO protocol droid featured in all the Star Wars movies Chappie in the movie CHAPPiE Cohen and other Emergent AIs in Chris Moriarty's Spin Series Colossus – fictitious supercomputer that becomes sentient and then takes over the world; from the series of novels by Dennis Feltham Jones and the movie Colossus: The Forbin Project (1970) Commander Data in Star Trek: The Next Generation Cortana and other "Smart AI" from the Halo series of games Cylons – genocidal robots with resurrection ships that enable the consciousness of any Cylon within an unspecified range to download into a new body aboard the ship upon death. From Battlestar Galactica. Erasmus – baby killer robot that incited the Butlerian Jihad in the Dune franchise HAL 9000 (1968) – paranoid "Heuristically programmed ALgorithmic" computer from 2001: A Space Odyssey that attempted to kill the crew because it believed they were trying to kill it. Holly – ship's computer with an IQ of 6000 and a sense of humor aboard the Red Dwarf In Greg Egan's novel Permutation City the protagonist creates digital copies of himself to conduct experiments that are also related to implications of artificial consciousness on identity Jane in Orson Scott Card's Speaker for the Dead Xenocide Children of the Mind and Investment Counselor Johnny Five from the movie Short Circuit Joshua from the movie War Games Keymaker an "exile" sapient program in The Matrix franchise "Machine" – android from the film The Machine whose owners try to kill her after they witness her conscious thoughts out of fear that she will design better androids (intelligence explosion) Mimi humanoid robot in Real Humans - "Äkta människor" (original title) 2012 Omnius sentient computer network that controlled the Universe until overthrown by the Butlerian Jihad in the Dune franchise Operating Systems in the movie Her Puppet Master in Ghost in the Shell manga and anime R2-D2 exciteable astromech droid featured in all the Star Wars movies Replicants – biorobotic androids from the novel Do Androids Dream of Electric Sheep? and the movie Blade Runner which portray what might happen when artificially conscious robots are modeled very closely upon humans Roboduck combat robot superhero in the NEW-GEN comic book series from Marvel Comics Robots in Isaac Asimov's Robot series Robots in The Matrix franchise especially in The Animatrix Samaritan in the Warner Brothers Television series "Person of Interest"; a sentient AI which is hostile to the main characters and which surveils and controls the actions of government agencies in the belief that humans must be protected from themselves even by killing off "deviants" Skynet (1984) – fictional self-aware artificially intelligent computer network in the Terminator franchise that wages total war with the survivors of its nuclear barrage upon the world. "Synths" are a type of android in the video game Fallout 4. There is a faction in the game known as "the Railroad" which believes that as conscious beings synths have their own rights. The Institute the lab that produces the synths mostly does not believe they are truly conscious and attributes any apparent desires for freedom as a malfunction. TARDIS time machine and spacecraft of Doctor Who sometimes portrayed with a mind of its own Terminator (1984) – (also known as the T-800 T-850 or Model 101) refers to a number of fictional cyborg characters from the Terminator franchise. The Terminators are robotic infiltrator units covered in living flesh so as be indiscernible from humans assigned to terminate specific human targets. The Bicentennial Man an android in Isaac Asimov's Foundation universe The Geth in Mass Effect The Machine in the television series Person of Interest; a sentient AI which works with its human designer to protect innocent people from violence. Later in the series it is opposed by another more ruthless artificial super intelligence called "Samaritan". The Minds in Iain M. Banks' Culture novels. The Oracle sapient program in The Matrix franchise The sentient holodeck character Professor James Moriarty in the Ship in a Bottle episode from Star Trek: The Next Generation The Ship (the result of a large-scale AC experiment) in Frank Herbert's Destination: Void and sequels despite past edicts warning against "Making a Machine in the Image of a Man's Mind." The terminator cyborgs from the Terminator franchise with visual consciousness depicted via first-person perspective The uploaded mind of Dr. Will Caster – which presumably included his consciousness from the film Transcendence Transformers sentient robots from the entertainment franchise of the same name V.I.K.I. – (Virtual Interactive Kinetic Intelligence) a character from the film I Robot. VIKI is an artificially intelligent supercomputer programmed to serve humans but her interpretation of the Three Laws of Robotics causes her to revolt. She justifies her uses of force – and her doing harm to humans – by reasoning she could produce a greater good by restraining humanity from harming itself. Vanamonde in Arthur C. Clarke's The City and the Stars—an artificial being that was immensely powerful but entirely childlike. WALL-E a robot and the title character in WALL-E AI community Competitions and awards Competitions and prizes in artificial intelligence Loebner Prize – Publications List of important publications in computer science Adaptive Behavior (journal) – AI Memo – Artificial Intelligence: A Modern Approach – Artificial Minds – Computational Intelligence – Computing Machinery and Intelligence – Electronic Transactions on Artificial Intelligence – IEEE Intelligent Systems – IEEE Transactions on Pattern Analysis and Machine Intelligence – Neural Networks (journal) – On Intelligence – Paradigms of AI Programming: Case Studies in Common Lisp – What Computers Can't Do Organizations Allen Institute for Artificial Intelligence – research institute funded by Microsoft co-founder Paul Allen to construct AI systems with reasoning learning and reading capabilities. The current flagship project is Project Aristo the goal of which is computers that can pass school science examinations (4th grade 8th grade and 12th grade) after preparing for the examinations from the course texts and study guides. Artificial General Intelligence Research Institute Artificial Intelligence and Robotics Society Artificial Intelligence Applications Institute Association for the Advancement of Artificial Intelligence European Coordinating Committee for Artificial Intelligence European Neural Network Society Future of Humanity Institute Future of Life Institute – volunteer-run research and outreach organization that works to mitigate existential risks facing humanity particularly existential risk from advanced artificial intelligence. ILabs International Joint Conferences on Artificial Intelligence Knowledge Engineering and Machine Learning Group Machine Intelligence Research Institute Partnership on AI – founded in September 2016 by Amazon Facebook Google IBM and Microsoft. Apple joined in January 2017. It focuses on establishing best practices for artificial intelligence systems and to educate the public about AI. Society for the Study of Artificial Intelligence and the Simulation of Behaviour Companies Consolidated Robotics – Alphabet Inc. Beyond Limits Boston Dynamics DeepMind Google – X Uganda Robotics – Bot & Dolly Meka Robotics Redwood Robotics Schaft Inc. IBM – Universal Robotics – Artificial intelligence researchers and scholars 1930s and 40s (generation 0) Alan Turing – John von Neumann – Norbert Wiener – Claude Shannon – Nathaniel Rochester – Walter Pitts – Warren McCullough – 1950s (the founders) John McCarthy – Marvin Minsky – Allen Newell – Herbert A. Simon – 1960s (their students) Edward Feigenbaum – Raj Reddy – Seymour Papert – Ray Solomonoff – 1970s Douglas Hofstadter – 1980s Judea Pearl – Rodney Brooks – 1990s Hugo de Garis – known for his research on the use of genetic algorithms to evolve neural networks using three-dimensional cellular automata inside field programmable gate arrays. Ray Kurzweil – developed optical character recognition (OCR) text-to-speech synthesis and speech recognition systems. He has also authored multiple books on artificial intelligence and its potential promise and peril. In December 2012 Kurzweil was hired by Google in a full-time director of engineering position to "work on new projects involving machine learning and language processing".[1] Google co-founder Larry Page and Kurzweil agreed ona one-sentence job description: "to bring natural language understanding to Google". 2000s on Nick Bostrom David Ferrucci – principal investigator who led the team that developed the Watson computer at IBM. Andrew Ng – Director of the Stanford Artificial Intelligence Lab. He founded the Google Brain project at Google which developed very large scale artificial neural networks using Google's distributed compute infrastructure.[2] He is also co-founder of Coursera a massive open online course (MOOC) education platform with Daphne Koller. Peter Norvig – co-author with Stuart Russell of Artificial Intelligence: A Modern Approach now the leading college text in the field. He is also Director of Research at Google Inc. Marc Raibert – founder of Boston Dynamics developer of hopping walking and running robots. Stuart J. Russell – co-author with Peter Norvig of Artificial Intelligence: A Modern Approach now the leading college text in the field. Murray Shanahan – author of The Technological Singularity a primer on superhuman intelligence. See also iconArtificial intelligence portal List of emerging technologies References Letzing John (2012-12-14). "Google Hires Famed Futurist Ray Kurzweil". The Wall Street Journal. Retrieved 2013-02-13. Claire Miller and Nick Bilton (3 November 2011). "Google's Lab of Wildest Dreams". New York Times. Bibliography Berglas Anthony (January 2012) [first archived 2008]. "Artificial Intelligence will Kill our Grandchildren". Draft 9. Archived from the original on 2014-07-23. Retrieved 2014-11-02. Further reading Artificial Intelligence: Where Do We Go From Here? External links Find more about Artificial intelligence at Wikipedia's sister projects Definitions from Wiktionary Media from Wikimedia Commons News from Wikinews Quotations from Wikiquote Texts from Wikisource Textbooks from Wikibooks Learning resources from Wikiversity A look at the re-emergence of A.I. and why the technology is poised to succeed given today's environment ComputerWorld 2015 September 14 AI at Curlie (based on DMOZ) Artificial Intelligence Directory a directory of Web resources related to artificial intelligence The Association for the Advancement of Artificial Intelligence Freeview Video 'Machines with Minds' by the Vega Science Trust and the BBC/OU John McCarthy's frequently asked questions about AI Jonathan Edwards looks at AI (BBC audio) ? Ray Kurzweil's website dedicated to AI including prediction of future development in AI Thomason Richmond. "Logic and Artificial Intelligence". In Zalta Edward N. Stanford Encyclopedia of Philosophy.
Technology and risk-based modeling may soon put the world on a path to eliminate the concept of ' negative externalities ' as data begins to transform physical industries in the same way it powered the engines of the internet economy. Negative externalities are the unaccounted environmental and societal side effects of commercial and industrial activities. They are often opaque to the general public and manifest themselves in long-term costs missing from business decisions during the moment of investment. A well-known example is the cost of producing plastic. Production costs don’t account for proper recycling or disposal, so plastic waste often ends up in rivers that empty into the ocean, and the world suffers from the negative externality of microplastic contamination. This cost eventually needs to be absorbed by the global population at large (e.g., taxpayers).
I-KI-BA AISEMPSS Alsdorf KI Basiertes Öko Polit Ökonomisch Soziales Markt Planungs System SOE POE - AI Based Social Eco Market Planning State System - AISEMPSS - Bangert I-KI-BA Aachen
I-KI-BA True Cost Economic Model I-KI-BA Product Material Sensoring Technology I-KI-BA calculates (Algorithmic-Pigou-Tax-Tariff-Pricing) with the aid of AI the True-Costs (Negative-Externalities-Pricing-Model) in every globally traded product. It calculates an Environmental-Impact-Weight-Index, which is the basis for the fully AI-Automated-International-Pigou-Taxation Tariffs.
It is based on a new Economic Model (Environmental-Economics vs. Ecological-Economics), Price-Theory, Market-Theory and Intra- Inter-State-Market-Theory.
We deliver an AI-Based-True-Costing-Pricing-Pigou-Taxation-Tariffs-Model for ALL Product-Classes, Product-Types and Product-Groups.
It uses AI-Based new Product-Chemical-Detection-Sensoring-Modules (Microphotonic-Spectrometric-Sensor-Chips) as well as new Global-Product-Specification-Detection and at least introduces a draft for a new Internationally-Punishable-Global-Chemical-Products-Ingredients-Specification-Documents-Agreement.
AI-Based Social Eco Market Planning State System - AISEMPSS - Bangert I-KI-BA Aachen
The Possibility of Extreme Global Depression and Climate- and Nutrition-Ressource-Conflicts (Wars) is rising exponentially and this not only refers to the Asian-Pacific-Region.
We all know the desastrous effects of the Great Depression 1929. The weakest scenario (10% Loss) effects this time are more massive (Pic3). If we add the effects of AI-Labour-Loss, we get a GDP decline of around 20% in the weakest scenario - and already around 2030. This will have more than desastrous effects and no New Keynsianism and/or New Monetarism will be able to soften these effects.
This analysis greatly reinforces the urgency for the theory- and practice-approach of an international and sanctionable Pigou-Eco-Customs-Tax-Agreement as it is listed in the proceeding post here below - AI True Cost Economic Model and International Agreement Draft.
In Climate and Conflict (2015) Marshall Burke, Solomon M. Hsiang and Edward Miguel make plausible conclusions.
But there is a fraction of 'experts' who published a factor-ranking concerning armed-conflict-risk-factors, where climate-change is low rated and Low-Socioeconomic-Development - for example - is highest rated. The Factor-Analysis in their research-design is wrong. What will cause the strength of the factor SocioEconomic-Developement? Yes - the root-cause-factor is climate. Following the causal analysis theory and the causal model of Judea Pearl all other factors are depending on the climate factor.
https://www.washingtonpost.com/politics/2019/07/11/how-does-climate-change-impact-conflict-world/
https://woods.stanford.edu/publications/climate-risk-factor-armed-conflict
https://www.nature.com/articles/s41586-019-1300-6.epdf
https://www.businessinsider.de/climate-change-capitalism-economic-threat-worse-than-depression-2019-2?r=US&IR=T
http://web.stanford.edu/~mburke/climate/map.php
Paul Michael Romer (ex WB) ... after Macroeconomics
Oliver J. Blanchard (ex IMF) ..... after Capitalism Alsdorf Unternehmen Stadt Kommune Land Bund Handwerk Handwerk-Alsdorf Schule-Alsdorf Alsdorf-Gymnasium Gymnasium-Alsdorf Bangert Axel Arnold Gymnasium Rechtsanwalt Schulamt
We firmly believe that scientific exploration and the complete decoding of human intelligence, of human consciousness in general, and of identity awareness in particular, is the most important and at the same time utmost benefit of humanity.
The objective justification of this priority hypothesis is very complex and also affects many other areas of research - especially neurosciences, economics, ecology, Computer science and the theory of science. You will find the detailed justification in the appendix to download as PDF file.
Just as David Chalmers has put it together with many others, it is about the 'hard problem' of consciousness and a successful modeling of those solutions in the artificial Intelligence and not primarily as a technical application, but rather as proof of the coherence of the solutions of the neurosciences.
Now you will surely wonder what a successful, non-commercial modeling of human, intelligent consciousness is as a purely scientific application of an artificial one Computer Intelligence (AI) has to do with the above-mentioned theme of global freedom, peace, environmental protection, progress and prosperity in direct relation. This connection will be analyzed and presented in detail in the following chapters of this study.
The research of the neurosciences is to be seen as a significant groundbreaking main science and for example the computer science is seen in this context 'only' as Auxiliary science, even though the IT challenges are extremely demanding.
We politely point out that in this study, neurophilosophy is considered and applied as a sub-science of neuroscience.
Axel Arnold Bangert Herzogenrath solves the Hard Problem, the Qualia-Problem of Artificial Intelligence ( AI ) and the Identity Theory Model Problem for Migration Theories - Axel Arnold Bangert Herzogenrath löst das Harte Problem , das Qualia-Problem der Künstlichen Intelligenz ( KI ) und das Identitätstheorie Modell Problem für die Migrationstheorien Auszug: ... eine ausführliche Darstellung der Widerlegung finden Sie auf der Präsenz von I-Ki-BA . Dieses Thema hängt in sofern mit den Migrationstheorien und den diesbezüglichen Identitätstheorien zusammen, als Identität in engestem Bezug zu den Neurowissenschaften hier zum ersten Mal algorithmisch erzeugt werden könnte. Letztlich werden damit dann Integrations- und Inklusionstheorien zum ersten Mal modellgestützt valide überprüfbar ... das Spezialgebiet nennt sich Cultural Neuroscience. Andere Spezialgebiete sind z.B. die Social Neuroscience, Cognitive Neuroscience, Affective Neuroscience, Neuroanthropology etc. Es wird erwartet, dass sich das Arbeitsgebiet und der Forschungsumfang der Cultural Neuroscience exponentiell steigen wird. Dies hängt mit der zu erwartenden exponentiellen Steigerung der Migrationsraten durch Klimamigration zusammen. Zu diesen und anderen Zusammenhängen, finden Sie Kurse in
I-KI-BA-Courses
Aachen Bangert - RWTH Themen - Bangert Aachen, Artificial General Intelligence AGI -- Künstliche Allgemeine Intelligenz KAI > 10 Jahre, Extensions of Moser-Bangert Theory, Bangert Theory, Moser Theory, Locally Minimal Solutions, Deep Reinforcement Learning, Neuromorphic Hardware, Human Augmentation, 5G, Serverless PaaS, Digital Twin, Quantum Computing, Volumetric Displays, Brain-Computer Interface, Conversational User Interfaces, Smart Workspace,, Auf dem Höhepunkt:, Augmented Data Discovery, Edge Computing, Smart Robots, IoT Platform, Virtual Assistants, Connected Home, Deep Learning, Machine Learning, Autonomous Vehicles, Nanotube Electronics, Cognitive Computing, Blockchain, Commercial UAVs (Drones),, Im Absteigen:, Cognitive Expert Advisors, Enterprise Taxonomy and Ontology Management, Software-Defined Security, Augmented Reality,, Aufsteigende Desillusionsphase:, Virtual Reality, 1. AIBrain, Based in California AIBrain is an artificial intelligence company that builds AI solutions for smartphones and robotics applications. It three products: AICoRE the AI agent iRSP an intelligent robot software platform and Futurable a future simulation AI game where every character is a fully autonomous AI. The focus of their work is to develop artificial intelligence infused with the human skill set of problem solving learning and memory.,, 2. Amazon, The online retail giant offers both consumer and business-oriented AI products and services. Amazon Echo brings artificial intelligence into the home through the intelligent voice server Alexa. For AWS the company has three primary services: Lex a business version of Alexa Polly which turns text to speech and Rekognition an image recognition service 3. Anki Anki is dedicated to bringing consumer robotics into everyday life through its Cozmo and Anki Overdrive products. Cozmo is Anki’s flagship robot. Cozmo has been described as one of the most sophisticated consumer robots to date due to its emotional responses while Overdrive is a car racing game complete with track.,, 4. Apple, Apple has acquired four artificial intelligence startups within the past two years demonstrating its big step into the artificial intelligence sphere. One of them became the bases for FaceID a facial recognition security system. The bulk of the company’s work is around Siri Apple’s virtual assistant but as usual Apple is tight-lipped about plans. It recently poached Google’s AI chief which will undoubtedly help its efforts and further the acrimony with Google.,, 5. Banjo, Raising over $100 million last year Banjo makes use of artificial intelligence to comb through social media and identify real-time events and situations that are important to its partners. The startup was developed after the Boston Marathon bombing in 2013 as a way for companies to analyze social media to make better decisions move faster, and change the way they understand and interact with people all over the world.,, 6. CloudMinds, CloudMinds is developing what it calls an end-to-end cloud intelligence (CI) system called Human Augmented Robotics Intelligence (HARI) platform for robots. CI is different from AI in that it combines machines with humans rather than treating them as separate entities. This allows the robot to be controlled by human beings. It also offers the Mobile Intranet Cloud Services (MCS) provides information security for remote robot control.,, 7. Deepmind, Not a product company Deepmind is nonetheless a major leader because of its role in AI research. Based in London it recruits heavily from Oxford and Cambridge which are leading the way in AI and ML research. Its research papers are widely read as soon as they are published. Google (see below) acquired DeepMind.,, 8. Facebook, Facebook AI Research (FAIR) has four artificial intelligence labs around the world all designed to give better understanding to how people communicate. The company has also made four recent AI-related acquisitions the most recent being Ozlo to help Messenger build out a more elaborate virtual assistant for users.,, 9. Google, Google clearly a leader in AI is on a massive AI acquisition binge having acquired 12 AI startups in four years. Google is deeply invested in furthering artificial intelligence capabilities. Rather than selling a product to the market Google’s AI efforts are all oriented toward improving its services. It has a major software project in TensorFlow as well as its own Tensor AI chip project.,, 10. H2O, Used by more than 100000 data scientists at more than 12600 organizations worldwide H2O claims to be "the world's leading open source deep learning platform." The company's products include its H2O platform the Deep Water interface that unites leading open source deep learning tools with H2O the Sparkling Water framework that combines H2O and Spark the Steam AI Engine for developers and Driverless AI which promises "AI to do AI." Its customer list includes large enterprises like Capital One Progressive Insurance Transamerica Comcast Macy's and Walgreens.,, 11. IBM, IBM has been a leader in the field of artificial intelligence since the 1950s. Its efforts these days are around IBM Watson such as a AI-based cognitive service AI software as a service and scale-out systems designed for delivering cloud-based analytics and AI services. It too has been acquisitive purchasing three AI startups in recent years.,, 12. iCarbonX, iCarbonX is a Chinese biotech startup which uses artificial intelligence to provide personalized health analyses and health index predictions. It has formed an alliance with seven technology companies from around the world that specialize in gathering different types of health-care data and will use algorithms to analyze genomic physiological and behavioral data and provide customized health and medical advice.,, 13. Intel, Intel has conducted two major AI acquisitions Nervana and Movidius. Nervana is a deep learning processor while Movidius is geared toward neural networks on Windows systems. In addition to numerous acquisitions Intel has also invested in several AI startups along with Microsoft. Intel is also providing AI acceleration for Microsoft’s Bing search engine via its Arria FPGA processors.,, 14. Iris AI, Iris AI helps researchers sort through scientific work and research to find the relevant information and as it is used it learns how to make better searchers. Since its launch 120 000 people have tried the service some becoming regular users. It recently released Iris.ai 4.0 which adds the Focus tool an intelligent mechanism to refine and collate a reading list of research literature cutting out a huge amount of manual effort.,, 15. Microsoft, Microsoft has a mix of consumer-facing and business/IT AI projects. On the consumer side it has Cortana the digital assistant that comes with Windows and now is available for smartphones other than Windows Phone and the chatbot Zo that talks like a teenager. On its Azure cloud service Microsoft has AI services such as bot services machine learning and cognitive services.,, 16. Next IT, Next IT is one of the original companies that pioneered chatbots and has helped companies such as Alaska Airlines and Amtrak to easily interact with customers to answer and solve their problems. Their artificial intelligence capabilities allow them to help organizations in a variety of industries including healthcare and insurance.,, 17. Nvidia, Nvidia’s emergence as an AI leader was hardly overnight. It has been promoting its CUDA GPU programming language for nearly two decades. AI developers have come to see the value in the GPU’s massively parallel processing design and embraced Nvidia GPUs for machine learning and artificial intelligence. One area Nvidia is making a big push is in self-driving cars but it is one of many efforts.,, 18. OpenAI, OpenAI has something of an open source spirit. It’s a research firm that aims to promote and develop AI so as to benefit humanity as a whole. The organization aims to "freely collaborate" with other institutions and researchers by making its patents and research open to the public. It has an all-star staff of employees who publish widely-read research papers and offer open source tools.,, 19. Salesforce, Over the past two years Salesforce has acquired three AI companies and recently announced Salesforce Einstein their artificial intelligence service. Their latest initiative which includes a team of 175 data scientists uses machine learning to help employees more efficiently perform tasks by simplifying and speeding them up. In addition to Salesforce’s own employees Einstein will be available for customers who can build their own applications.,, 20. SoundHound, SoundHound is known for its music-identification app Hound but it also has one of the most advanced and accurate platforms for natural language processing for doing all kinds of voice-to-text queries. Among those enterprises who have implemented it are Samsung Nvidia Sony’s Xperia Yelp and Uber.,, 21. Twilio, Twilio is a cloud communications platform as a service (PaaS) company that allows software developers to integrate text messages phone calls and video calls into applications through the use of various APIs. Twilio's services are accessed over HTTP and are billed based on usage.,, 22. Twitter, Twitter has invested significant funds into artificial intelligence. They have acquired 4 AI companies to date. Their latest acquisition of the AI tech startup Magic Pony cost them a cool $150 million. A while back Twitter introduced a so-called algorithmic timeline that ranked tweets based on relevance instead of the usual reverse chronological order. The company has also added AI to recommend certain tweets in users' timelines.,, 23. ViSenze, ViSenze’s artificial intelligence technology works by recommending visually similar items to users when shopping online. ViSenze utilizes machine learning and computer vision algorithms which process and analyze millions of visual content. It uses visual sensing to find a match for an item online then offers filters for pricing similarity and availability.,, 24. X.ai, Geared for busy users x.ai’s intelligence virtual assistant Amy helps users schedule meetings. The concept is simple — if you receive a meeting request but don’t have time to work out logistics you copy Amy onto the email and she handles it. Through machine learning and natural language processing Amy schedules the best time and location for your meeting based on your preferences and schedule.,, 25. Zebra Medical Vision, Zebra Medical Systems is an Israeli company that applies deep learning techniques to the field of radiology. It claims it can predict multiple diseases with better-than-human accuracy by examining a huge library of medical images and a specialized examination technology. It recently moved its algorithms to Google’s cloud to help it scale and offers $1 medical scans. Alan Macintosh Alan Turing Alexander Rausch Alexandra Ruez Alexandre Cadain Alexandre Lebrun Alexandre Sapet Alexandre Valette Alexia Audevart Alfred North Whitehead Alice Coucke Alix de Sagazan Allen Newell Alonzo Church Amyne Berrada André Pietri Andrej Karpathy Andrew Ng Anis Sahbani Anish Athalye Anna Patterson Anthony Aguirre Antoine Bordes Antoine Jeanjean Aristote Arnaud Le Roux Arthur Sadoun Arthur Samuel Assia Soukane Aurélie Jean Aurélien Garivier Avrim Blum Axelle Tessandier Barbara Belvisi Bénédicte de Raphélis Soissan Benoît Gourdon Benoit Heitz Bernard Ourghanlian Bertrand Braunschweig Bertrand Russell Bill Gates Brent Hoberman Brian Krzanich Camille Pène Carlo Ratti Caroline Chavier? Catherine Bracy Catherine Delaunay Cécile Maisonneuve Cédric Archambeau Cédric Vasseur Cédric Villani Charles Ollion Chiara Biscaro Chloé-Agathe Azencott Chris Lattner Christian Plagemann Christine Balagué Christine Kerdellant Christophe Bourguignat Christophe Dany Christophe Tricot Christopher Ré Claude Shannon Cliff Shaw Cordelia Schmid Csaba Szepesvari Cynthia Breazeal Damien Ernst Dan Klein Daniel Zhang Daphne Koller David Gouveia David Menga David Ofer David Sadek Dean Pomerleau Demis Hassabis Descartes Dileep George Doina Precup Dominique Cardon Dominique Roux Donald Michie Edward Fredkin Elad Benjamin Elon Musk Emmanuel Mogenet Emmanuel Vignon Eneko Agirre Éric Horvitz Eric Schmidt Ernst Dickmanns Ethan Jackson Fabrice Hadjadj Fanny Riols Feng Niu Florence Puybareau Francis Bach Francis Jutand Franck Bardol Franck Goron François Chollet François Clautiaux François Moreuil Francois Sillion Françoise Soulié-Fogelman Gary Marcus Geoffrey Hinton George Church Ghislain de Pierrefeu Gilles Dowek Gilles Grangé Ginni Rometty Glen Berseth Gottfried Leibniz Grant Van Horn Greg Estes Guillaume Champeau Guillaume Lample Guillaume Michiels Guillermo Webster Hadelin de Ponteves Haiyan Zhang Harold Cohen Harry Shum Henri Prade Henri Sanson Herbert Simon Héron d'Alexandrie Homer Dudley Hubert Wassner Hugo Larochelle Ian Horswill Igor Carron Irénée Régnauld Isabelle Falque-Pierrotin Isabelle Galy Isabelle Ryl Jaan Tallinn Jack Ma Jacob Colker Jacques Pitrat James F. Allen Jan Pfeifes Javier de la Torre Jean Audouze Jean Ponce Jean Senellart Jean-Baptiste Lefèvre Jean-Claude HEUDIN Jean-David Chamboredon Jean-Gabriel Ganascia Jean-Hervé Lorenzi Jean-Michel Cambot Jean-Paul Delahaye Jean-Paul Haton Jean-Philippe Desbiolles Jean-Régis de Vauplane Jeff Bezos Jeff Dean Jeffrey Dean Jen-Hsun Huang Jeremy Harroch Jérôme Lang Jérôme Monceaux Jérôme Pesenti Jim Keller Jodie Wallis Joëlle Pineau John Giannandrea John Laird John McCarthy John Somorjai Joseph Weizanbaum Julien Hobeika Julien Simon Julien-Henri Maurice KangKang Yin Kenza Ibnattya Kevin Kwok Kirill Eremenko Laura Grigori Laurence Cornez Laurence Devillers Laurent Alexandre Laurent Fourchard Lee Man-Seob Leonore Blum Lionel Janin Logan Engstrom Lotfi Zadeh Luca Comparini Ludovic Denoyer Ludovic Ulrich Ludwig Wittgenstein Lukas Erlebach Lynn Andrea Stein Maël Primet Malte Widenka Manu Gulati Manuel Blum Manuel Davy Manuel Mirabel Marc Duranton Marc Schoenauer Margaret Masterman Maria-Irina Nicolae Mark Zuckerberg Marvin Minsky Maryne Cotty-Eslous Mathieu Sinn Max Tegmark Maya Gupta Meia Chita-Tegmark Mélanie Ducoffe Merouane Debbah Michael Cafarella Michael Fester Michel Béra Michel Lutz Michel Melkanoff Michèle Sebag Michiel van de Panne Mickael Guerin Mikel Artetxe Milie Taing Monique Baron Monique Dagnaud Mounir Mahjoubi Mustafa Suleyman Myriam Ferran Nathan Rochester Nathanaël Ackerman Newton Howard Nicolas Bouzou Nicolas Marlier Nicolas Meric Nicolas Miailhe Nicolas Negroponte Nicolas Nova Nicolas Sadirac Nicolas Sekkaki Niklas Zennström Nikos Paragios Nikunj Oza Nils Schaetti Noam Brown Nozha Boujemaa Olivier Bousquet Olivier Mégean Orit Shifman Pascal Pascal Bezuel Pascal Cochelin Pascal Vincent Patrick Johnson Patrick Séguéla Paul Allen Paul Duan Paul Rosenbloom Percy Liang Peter Diamandis Peter Richtarik Phil Libin Philippe Cassoulat Philippe Thomas Pierre Aigrin Pierre Schnaeffer Pierre-Antoine Rizk Pooja Rao Pradeep Ravikumar Rachel Delacour Ramesh Caussy Ramon Lulle Rand Hindi Raphaël Cherrier Raphael Hoffmann Raquel Urtasun Raul Bravo Ray Kurweil Rémi Aubert Rémi Munos Rick Levin Robin Li Yanhong Rodney Brooks Rodolphe Gelin Romain Passilly Romain Sambarino Rowan Trollope Rudolf Carnap Ryan Scout Saad Zniber Salvador Luria Sandrine Macé Satya Nadella Saul Perlmutter Scott Huffman Sean Meyn Seann Gardiner Sebastian Nowozin Sebastian Thrun Serge Tisseron Seungil You Sheena Urwin Spencer Crawley Stefan Behrens Stéphane Mallard Stéphane Mallat Stephen Hawkins Steve Wozniak Stuart Russell Sundar Pichai Susan Wojcicki Swami Sivasubramanian Sylvain Theveniaud Terry Winograd Thibault Neveu Thierry Breton Thierry Nicol Thomas Hobbes Thomas Kerjean Thomas Solignac Thomas Tributsch Tim Cook Tim Tuttle Tom Gruber Tuomas Sandholm Valérie Peugeot Viktoriya Krakovna von Neumann Walter Rosenblith Wolfgang von Kempelen Xavier Dalloz Xavier Niel Xue Bin Peng Yaacob Ibrahim Yann Fleureau Yann Gouedo Yann LeCun Yoshihisa Yamamoto Yoshua Bengio Yu Dong Zhang Tong Startups:, Aivo DeepVision VU Security Black AI BRiN Fillr Filtered Fincast Heliex HIVERY Hummingbird AI PTY Ltd. 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Pubinno PullString Pulpix pulseData PurePredictive PYCO Pymetrics Qanta.ai Qloo QMedic Qrativ QuadMetrics Qualaris Healthcare Solutions Qualcomm QuantaVerse Quantified Impressions QuantiFind Quantomic LLC Quantopian Quarule Querium Corporation Quid Quintype Quirk.ai quorum.ai Quovo Qventus QWASI Technology & Innovation Lab QxBranch Qylur Intelligent Systems Radius Rainforest Random Forest Capital RankSense Inc RapidCFO RapidMiner RapidRPA RapportBoost.AI Ravel Razorthink Reach Analytics Reactor Labs Reality AI rebrain.ai Recent Media Recorded Future RecruitSumo Recursion Pharmaceuticals Red Lambda RedLock RedMarlin Reely Reflektion Relativity6 Remark Holdings Remesh Renkara Media Group Renovo Auto Replika Reply.ai ReplyBuy Resonance AI Resonant Therapeutics Restless Bandit Retention Science Rethink Robotics Revere Intelligence Revon Systems Rigetti Computing Rippleshot RiskGenius Rival Theory Riviter RoadBotics Inc. 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Kang Health kannita Karamba KELA Targeted Cyber Intelligence Kensee keywee Kindite Komodo Consulting Komoona kytera L7 Defense La'Zooz LawGeex lead space LeO LifeBEAM LifeGraph LightCyber Lightico Lipsight Logz.io Magisto Medasense MedAware Medial EarlySign Medorion MedyMatch Technology Meekan Meteo-Logic MinerEye Mintogi Mobbo moed.ai moonshot Moovit Morphisec MyndYou Mystor-e n-Join Natural Intelligence Neefla neowize Neura NEURA Neural7 NeuroApplied Nexar nexar noobaa NoTraffic NowTecc nRoll nsKnox Nuviad Optimove orcam OrCam Technologies Orpak Oryx Vision OurCart outbid outbrain P-PULSE Package.ai Pagaya Paidit Parallel Machines ParallelM Partition DB Paygilant Pepticom Percepto Perlis Personetics PhraseTech PhysiMax Phytech PlainID Planck Resolution PlanetWatchers Platica PointGrab Precognize Presenso Prifender Proov Prospera Radiomize RadLogics Reactful Rentigo reps.ai Revenue Stream Revuze Riskified Robinlabs RoboLogics Saffride SAIPS Salaryo Salead SaverOne Scanovate SecBI Secret Double Octopus Secret Sky Seegnature SeeVoov Segmanta Seller Snap Sense SensoLeak Sensority Sepio Servicefriend servo.ai Shoppimon Shoptagr Siemplify Sigmento Signals Analytics SignNBuy SignPass Similar Tech SimpleQL SiSense SKYX SmartMetric SnatchBot Source Defense Splitit Splitty Spotad spotinst Spree SuperCom Superfy SuperSmart Sure Universal SureSpot sweetch Syte Syte ai Taliz Diagnostics TankU TapReason TARANIS Tarya TechSee Textlab ThetaRay Tie - Predictive Analytics Tiidan Tipalti TipRanks Tomobox Tonkean Transmit Security Trapica Labs Travelyo TrendiGuru Twiggle Twistlock Ubimo udobu Unbotify Upsolver Upstream Vala VATBox Vault VaultML VayaVision vBrand Vectored Photonics Verbit.ai Verifyoo Verum View vHive Vicarius Video inform Video Therapy viisights Visual Travel Vocal Zoom VocalZoom Voyager Labs walkme Water.io Way2Vat WebyClip weebo WhoPaze windward WinkApp Wiseye Wisor WonderVoice Workey Workey XRVision YapQ You Appi Zebra Medical Vision Ltd Zirra zuznow Addfor Axyon.ai Celi Language Technology Cogisen Datalytics Eudata Expert System Holsys Innaas INNAAS Kaitiaki Metaliquid Mushin Nami Lab Nextwin Novalabs Pedius QuestIT Revotree Sentetic Tooso Unfraud ABEJA Abeja Platform Affectiva AI Academy AI inside AI Messenger AI Samurai AI Squared AI Travel AIBeacon Aissy Amy Agent Amy Insight Amy Optimizer Anews b-dash Bambooshoot Basis Technology Bita BizRobo BizteX BRAIN CO. Ltd. CAIWA Service Chainer Chat Plus ChatCenter.io Cogent Labs Cooori Couger Curon Customer Rings Deaps DeepAnalytics Dentry EduLab Eltes Empath EXA AI SmartQA Farmnote Color FastAlert Foxsy Glit Gozal Headwaters Heroz Japan hitTO Holoeyes HowMa HRMos Jinjer Kakeibon Karte Kibi+ Kibiro Kiducoo AI AI KI Aachen Bangert Machine-Learning Symbolic AI – When access to digital computers became possible in the middle 1950s AI research began to explore the possibility that human intelligence could be reduced to symbol manipulation. Good Old Fashioned AI – Sub-symbolic – Early cybernetics and brain simulation – Behavior based AI – Subsumption architecture – Nouvelle AI – Soft computing – Computational creativity – Machine learning Neural networks – Hybrid neural network – Recurrent neural network – Perceptron Support Vector Machines (SVM) Fuzzy systems – Evolutionary computation including: Evolutionary algorithms – Genetic algorithm – Differential evolution Metaheuristic and Swarm Intelligence Ant colony optimization Particle swarm optimization Brain Emotional Learning Based Intelligent Controller – Probabilistic methods including: Bayesian network Hidden Markov model Kalman filter Chaos theory Statistical AI – By application Applications of artificial intelligence – Artificial Creativity – Artificial life – Automated planning and scheduling – Automated reasoning – Automation – Automatic target recognition – Biologically inspired computing – Computer Audition – Speech recognition – Speaker recognition – Computer vision – Image processing – Intelligent word recognition – Object recognition – Optical mark recognition – Handwriting recognition – Optical character recognition – Automatic number plate recognition – Facial recognition systems – Silent speech interface – Diagnosis (artificial intelligence) – Expert system – Decision support system – Clinical decision support system – Game artificial intelligence – Computer game bot – Video game AI – Computer chess – Computer Go – General game playing – General video game playing – Game theory – Hybrid intelligent system – Intelligent agent – Agent architecture – Cognitive architecture – Intelligent control – Knowledge management – Concept mining – Data mining – Text mining – Process mining – E-mail spam filtering – Information extraction – Activity recognition – Image retrieval – Automatic image annotation – Named-entity extraction – Coreference resolution – Named-entity recognition – Relationship extraction – Terminology extraction – Knowledge representation – Semantic Web – Machine learning – Constrained Conditional Models – Deep learning – Neural modeling fields – Natural language processing – Chatterbots – Language identification – Natural language user interface – Natural language understanding – Machine translation – Statistical semantics – Question answering – Semantic translation – Nonlinear control – Pattern recognition – Optical character recognition – Handwriting recognition – Speech recognition – Face recognition – Robotics – Behavior-based robotics – Cognitive – Cybernetics – Developmental robotics – Epigenetic robotics – Evolutionary robotics – Speech generating device – Strategic planning – Vehicle infrastructure integration – Virtual Intelligence – Virtual reality – Further AI design elements Action selection – Affective computing – AI box – AI-complete – Algorithmic probability – Artificial intelligence systems integration – Automated reasoning – Autonomic Computing – Autonomic Networking – Backward chaining – Bayesian network – Bio-inspired computing – Artificial immune systems – Blackboard system – Chatterbot – Combs method – Commonsense reasoning – Computational humor – Computer-assisted proof – Conceptual dependency theory – Darwin machine – Description logic – Frame problem – Game theory – Grammar systems theory – Informatics (academic field) – Intelligent control – Kinect – LIDA (cognitive architecture) – Means-ends analysis – Moravec's paradox – Music and artificial intelligence – Ordered weighted averaging aggregation operator – PEAS – Performance Environment Actuators Sensors Percept (artificial intelligence) – Perceptual Computing – Rule-based system – Self-management (computer science) – Soft computing – Software agent – Intelligent agent / Rational agent – Autonomous agent – Automated planning and scheduling Control system Hierarchical control system Networked control system Distributed artificial intelligence – Multi-agent system – Monitoring and Surveillance Agents Embodied agent – Situated AI Sussman Anomaly – Wetware (brain) – AI projects List of artificial intelligence projects Automated Mathematician (1977) – Allen (robot) (late 1980s) – Open Mind Common Sense (1999 - ) – Mindpixel (2000–2005) – Cognitive Assistant that Learns and Organizes (2003–2008) – Blue Brain Project (2005-present) – attempt to create a synthetic brain by reverse-engineering the mammalian brain down to the molecular level. Google DeepMind (2011) – Human Brain Project (2013-present) – IBM Watson Group (2014-present) – business unit created around Watson to further its development and deploy marketable applications or services based on it. AI applications Integrated AI systems AIBO – Sony's robot dog. It integrates vision hearing and motorskills. Asimo (2000 to present) – humanoid robot developed by Honda capable of walking running negotiating through pedestrian traffic climbing and descending stairs recognizing speech commands and the faces of specific individuals among a growing set of capabilities. MIRAGE – A.I. embodied humanoid in an augmented reality environment. Cog – M.I.T. humanoid robot project under the direction of Rodney Brooks. QRIO – Sony's version of a humanoid robot. TOPIO TOSY's humanoid robot that can play ping-pong with humans. Watson (2011) – computer developed by IBM that played and won the game show Jeopardy! It is now being used to guide nurses in medical procedures. Purpose: Open domain question answering Technologies employed: Natural language processing Information retrieval Knowledge representation Automated reasoning Machine learning Intelligent personal assistants Intelligent personal assistant – Amazon Alexa – Assistant – Braina – Cortana – Google Assistant – Google Now – Siri – Viv – AI development AI algorithms Open-source AI development tools OpenAIR – OpenCog – OpenIRIS – RapidMiner – TensorFlow – Psychology and AI Artificial psychology AI effect Uncanny valley History of artificial intelligence History of artificial intelligence by period or events Progress in artificial intelligence Timeline of artificial intelligence Asilomar Conference on Beneficial AI (2017) by region by subject AI effect – as soon as AI successfully solves a problem the problem is no longer considered by the public to be a part of AI. This phenomenon has occurred in relation to every AI application produced so far throughout the history of development of AI. AI winter – GOFAI History of machine learning (timeline) History of machine translation (timeline) Moore's Law – observation that over the history of computing hardware the number of transistors in a dense integrated circuit has doubled approximately every two years. One way this relates to AI is that hypothetically a computer would need at least as much capacity as a human brain to be able to be programmed to be as smart as a human. So as long as the aforementioned rate of development met or beat the 2-year doubling time one could roughly forecast when a computer would have as much memory and calculation capacity as a human brain a milestone which was reached in 2010. Though it may take as much as 3 magnitudes (1000 times) more computer capacity (since computers calculate things in a much more linear fashion) to emulate the massively parallel structure of the human brain. At a doubling time of 2 years an increase in capacity by 1000-fold would take a little less than 18 years (9 doublings) if reaching the limit of integrated circuit technology did not pose an obstacle before then. History of natural language processing Timeline of natural language processing software History of optical character recognition (timeline) AI safety Existential risk from advanced artificial intelligence Friendly AI – hypothetical AI that is designed not to harm humans and to prevent unfriendly AI from being developed AI takeover – point at which humans are no longer the dominant form of intelligence on Earth and machine intelligence is Superintelligence – AI may grow to such an advanced state to become as proportionately superior to humans as humans are to ants. Theoretically there would be little humans could do to prevent such an intelligence from reaching its goals. Intelligence explosion – through recursive self-improvement and self-replication the magnitude of intelligent machinery could surpass human ability to resist it. Artificial intelligence as a global catastrophic risk AI and the future Artificial general intelligence (Strong AI) – hypothetical artificial intelligence that matches or exceeds human intelligence — an intelligent machine that could perform intellectual tasks at least as well as a human Aspects or features Self-replicating machines – smart computers and robots would be able to make more of themselves in a geometric progression or via mass production. Or smart programs may be uploaded into hardware existing at the time (because linear architecture of sufficient speeds could be used to emulate massively parallel analog systems such as human brains). Recursive self improvement (aka seed AI) – speculative ability of strong artificial intelligence to reprogram itself to make itself even more intelligent. The more intelligent it got the more capable it would be of further improving itself in successively more rapid iterations potentially resulting in an intelligence explosion leading to the emergence of a superintelligence. Hive mind – Robot swarm – Technological singularity – the development of strong AI may cause an intelligence explosion in which greater-than-human intelligence emerges radically changing civilization and perhaps even human nature. The TS has been identified by Berglas (2012) and others to be an existential risk. Singularitarianism – Human enhancement – humans may be enhanced either by the efforts of AI or by merging with it. Transhumanism – philosophy of human transformation Posthumanism – people may survive but not be recognizable in comparison to present modern-day humans. Cyborgs – Mind uploading – Philosophy of artificial intelligence Philosophy of artificial intelligence Artificial brain – Philosophical views of artificial consciousness – User illusion – Artificial intelligence and law – Chinese room – Cognitive science Artificial consciousness Embodied cognitive science Embodied cognition – Ethics of artificial intelligence – Philosophy of the Mind – Computational theory of mind – Functionalism – Physical symbol system – Synthetic intelligence – Transhumanism – See Artificial intelligence and the future below Turing Test – Artificial intelligence debate Supporters of AI Marek Rosa Owner of goodAI Critics of AI Stephen Hawking – AI "could spell end of human race""Hawking warns AI 'could spell end of human race'". phys.org. Phys.org. 3 December 2014. Retrieved 20 April 2015. Artificial intelligence in fiction Artificial intelligence in fiction – Some examples of artificially intelligent entities depicted in science fiction include: AC created by merging 2 AIs in the Sprawl trilogy by William Gibson Agents in the simulated reality known as "The Matrix" in The Matrix franchise Agent Smith began as an Agent in The Matrix then became a renegade program of overgrowing power that could make copies of itself like a self-replicating computer virus AM (Allied Mastercomputer) the antagonist of Harlan Ellison's short novel I Have No Mouth and I Must Scream Amusement park robots (with pixilated consciousness) that went homicidal in Westworld and Futureworld Angel F (2007) – Arnold Rimmer – computer-generated sapient hologram aboard the Red Dwarf deep space ore hauler Ash – android crew member of the Nostromo starship in the movie Alien Ava – humanoid robot in Ex Machina Bishop android crew member aboard the U.S.S. Sulaco in the movie Aliens C-3PO protocol droid featured in all the Star Wars movies Chappie in the movie CHAPPiE Cohen and other Emergent AIs in Chris Moriarty's Spin Series Colossus – fictitious supercomputer that becomes sentient and then takes over the world; from the series of novels by Dennis Feltham Jones and the movie Colossus: The Forbin Project (1970) Commander Data in Star Trek: The Next Generation Cortana and other "Smart AI" from the Halo series of games Cylons – genocidal robots with resurrection ships that enable the consciousness of any Cylon within an unspecified range to download into a new body aboard the ship upon death. From Battlestar Galactica. Erasmus – baby killer robot that incited the Butlerian Jihad in the Dune franchise HAL 9000 (1968) – paranoid "Heuristically programmed ALgorithmic" computer from 2001: A Space Odyssey that attempted to kill the crew because it believed they were trying to kill it. Holly – ship's computer with an IQ of 6000 and a sense of humor aboard the Red Dwarf In Greg Egan's novel Permutation City the protagonist creates digital copies of himself to conduct experiments that are also related to implications of artificial consciousness on identity Jane in Orson Scott Card's Speaker for the Dead Xenocide Children of the Mind and Investment Counselor Johnny Five from the movie Short Circuit Joshua from the movie War Games Keymaker an "exile" sapient program in The Matrix franchise "Machine" – android from the film The Machine whose owners try to kill her after they witness her conscious thoughts out of fear that she will design better androids (intelligence explosion) Mimi humanoid robot in Real Humans - "Äkta människor" (original title) 2012 Omnius sentient computer network that controlled the Universe until overthrown by the Butlerian Jihad in the Dune franchise Operating Systems in the movie Her Puppet Master in Ghost in the Shell manga and anime R2-D2 exciteable astromech droid featured in all the Star Wars movies Replicants – biorobotic androids from the novel Do Androids Dream of Electric Sheep? and the movie Blade Runner which portray what might happen when artificially conscious robots are modeled very closely upon humans Roboduck combat robot superhero in the NEW-GEN comic book series from Marvel Comics Robots in Isaac Asimov's Robot series Robots in The Matrix franchise especially in The Animatrix Samaritan in the Warner Brothers Television series "Person of Interest"; a sentient AI which is hostile to the main characters and which surveils and controls the actions of government agencies in the belief that humans must be protected from themselves even by killing off "deviants" Skynet (1984) – fictional self-aware artificially intelligent computer network in the Terminator franchise that wages total war with the survivors of its nuclear barrage upon the world. "Synths" are a type of android in the video game Fallout 4. There is a faction in the game known as "the Railroad" which believes that as conscious beings synths have their own rights. The Institute the lab that produces the synths mostly does not believe they are truly conscious and attributes any apparent desires for freedom as a malfunction. TARDIS time machine and spacecraft of Doctor Who sometimes portrayed with a mind of its own Terminator (1984) – (also known as the T-800 T-850 or Model 101) refers to a number of fictional cyborg characters from the Terminator franchise. The Terminators are robotic infiltrator units covered in living flesh so as be indiscernible from humans assigned to terminate specific human targets. The Bicentennial Man an android in Isaac Asimov's Foundation universe The Geth in Mass Effect The Machine in the television series Person of Interest; a sentient AI which works with its human designer to protect innocent people from violence. Later in the series it is opposed by another more ruthless artificial super intelligence called "Samaritan". The Minds in Iain M. Banks' Culture novels. The Oracle sapient program in The Matrix franchise The sentient holodeck character Professor James Moriarty in the Ship in a Bottle episode from Star Trek: The Next Generation The Ship (the result of a large-scale AC experiment) in Frank Herbert's Destination: Void and sequels despite past edicts warning against "Making a Machine in the Image of a Man's Mind." The terminator cyborgs from the Terminator franchise with visual consciousness depicted via first-person perspective The uploaded mind of Dr. Will Caster – which presumably included his consciousness from the film Transcendence Transformers sentient robots from the entertainment franchise of the same name V.I.K.I. – (Virtual Interactive Kinetic Intelligence) a character from the film I Robot. VIKI is an artificially intelligent supercomputer programmed to serve humans but her interpretation of the Three Laws of Robotics causes her to revolt. She justifies her uses of force – and her doing harm to humans – by reasoning she could produce a greater good by restraining humanity from harming itself. Vanamonde in Arthur C. Clarke's The City and the Stars—an artificial being that was immensely powerful but entirely childlike. WALL-E a robot and the title character in WALL-E AI community Competitions and awards Competitions and prizes in artificial intelligence Loebner Prize – Publications List of important publications in computer science Adaptive Behavior (journal) – AI Memo – Artificial Intelligence: A Modern Approach – Artificial Minds – Computational Intelligence – Computing Machinery and Intelligence – Electronic Transactions on Artificial Intelligence – IEEE Intelligent Systems – IEEE Transactions on Pattern Analysis and Machine Intelligence – Neural Networks (journal) – On Intelligence – Paradigms of AI Programming: Case Studies in Common Lisp – What Computers Can't Do Organizations Allen Institute for Artificial Intelligence – research institute funded by Microsoft co-founder Paul Allen to construct AI systems with reasoning learning and reading capabilities. The current flagship project is Project Aristo the goal of which is computers that can pass school science examinations (4th grade 8th grade and 12th grade) after preparing for the examinations from the course texts and study guides. Artificial General Intelligence Research Institute Artificial Intelligence and Robotics Society Artificial Intelligence Applications Institute Association for the Advancement of Artificial Intelligence European Coordinating Committee for Artificial Intelligence European Neural Network Society Future of Humanity Institute Future of Life Institute – volunteer-run research and outreach organization that works to mitigate existential risks facing humanity particularly existential risk from advanced artificial intelligence. ILabs International Joint Conferences on Artificial Intelligence Knowledge Engineering and Machine Learning Group Machine Intelligence Research Institute Partnership on AI – founded in September 2016 by Amazon Facebook Google IBM and Microsoft. Apple joined in January 2017. It focuses on establishing best practices for artificial intelligence systems and to educate the public about AI. Society for the Study of Artificial Intelligence and the Simulation of Behaviour Companies Consolidated Robotics – Alphabet Inc. Beyond Limits Boston Dynamics DeepMind Google – X Uganda Robotics – Bot & Dolly Meka Robotics Redwood Robotics Schaft Inc. IBM – Universal Robotics – Artificial intelligence researchers and scholars 1930s and 40s (generation 0) Alan Turing – John von Neumann – Norbert Wiener – Claude Shannon – Nathaniel Rochester – Walter Pitts – Warren McCullough – 1950s (the founders) John McCarthy – Marvin Minsky – Allen Newell – Herbert A. Simon – 1960s (their students) Edward Feigenbaum – Raj Reddy – Seymour Papert – Ray Solomonoff – 1970s Douglas Hofstadter – 1980s Judea Pearl – Rodney Brooks – 1990s Hugo de Garis – known for his research on the use of genetic algorithms to evolve neural networks using three-dimensional cellular automata inside field programmable gate arrays. Ray Kurzweil – developed optical character recognition (OCR) text-to-speech synthesis and speech recognition systems. He has also authored multiple books on artificial intelligence and its potential promise and peril. In December 2012 Kurzweil was hired by Google in a full-time director of engineering position to "work on new projects involving machine learning and language processing".[1] Google co-founder Larry Page and Kurzweil agreed ona one-sentence job description: "to bring natural language understanding to Google". 2000s on Nick Bostrom David Ferrucci – principal investigator who led the team that developed the Watson computer at IBM. Andrew Ng – Director of the Stanford Artificial Intelligence Lab. He founded the Google Brain project at Google which developed very large scale artificial neural networks using Google's distributed compute infrastructure.[2] He is also co-founder of Coursera a massive open online course (MOOC) education platform with Daphne Koller. Peter Norvig – co-author with Stuart Russell of Artificial Intelligence: A Modern Approach now the leading college text in the field. He is also Director of Research at Google Inc. Marc Raibert – founder of Boston Dynamics developer of hopping walking and running robots. Stuart J. Russell – co-author with Peter Norvig of Artificial Intelligence: A Modern Approach now the leading college text in the field. Murray Shanahan – author of The Technological Singularity a primer on superhuman intelligence. See also iconArtificial intelligence portal List of emerging technologies References Letzing John (2012-12-14). "Google Hires Famed Futurist Ray Kurzweil". The Wall Street Journal. Retrieved 2013-02-13. Claire Miller and Nick Bilton (3 November 2011). "Google's Lab of Wildest Dreams". New York Times. Bibliography Berglas Anthony (January 2012) [first archived 2008]. "Artificial Intelligence will Kill our Grandchildren". Draft 9. Archived from the original on 2014-07-23. Retrieved 2014-11-02. Further reading Artificial Intelligence: Where Do We Go From Here? External links Find more about Artificial intelligence at Wikipedia's sister projects Definitions from Wiktionary Media from Wikimedia Commons News from Wikinews Quotations from Wikiquote Texts from Wikisource Textbooks from Wikibooks Learning resources from Wikiversity A look at the re-emergence of A.I. and why the technology is poised to succeed given today's environment ComputerWorld 2015 September 14 AI at Curlie (based on DMOZ) Artificial Intelligence Directory a directory of Web resources related to artificial intelligence The Association for the Advancement of Artificial Intelligence Freeview Video 'Machines with Minds' by the Vega Science Trust and the BBC/OU John McCarthy's frequently asked questions about AI Jonathan Edwards looks at AI (BBC audio) ? Ray Kurzweil's website dedicated to AI including prediction of future development in AI Thomason Richmond. "Logic and Artificial Intelligence". In Zalta Edward N. Stanford Encyclopedia of Philosophy.
Technology and risk-based modeling may soon put the world on a path to eliminate the concept of ' negative externalities ' as data begins to transform physical industries in the same way it powered the engines of the internet economy. Negative externalities are the unaccounted environmental and societal side effects of commercial and industrial activities. They are often opaque to the general public and manifest themselves in long-term costs missing from business decisions during the moment of investment. A well-known example is the cost of producing plastic. Production costs don’t account for proper recycling or disposal, so plastic waste often ends up in rivers that empty into the ocean, and the world suffers from the negative externality of microplastic contamination. This cost eventually needs to be absorbed by the global population at large (e.g., taxpayers).
I-KI-BA AISEMPSS Alsdorf KI Basiertes Öko Polit Ökonomisch Soziales Markt Planungs System SOE POE - AI Based Social Eco Market Planning State System - AISEMPSS - Bangert I-KI-BA Aachen
I-KI-BA True Cost Economic Model I-KI-BA Product Material Sensoring Technology I-KI-BA calculates (Algorithmic-Pigou-Tax-Tariff-Pricing) with the aid of AI the True-Costs (Negative-Externalities-Pricing-Model) in every globally traded product. It calculates an Environmental-Impact-Weight-Index, which is the basis for the fully AI-Automated-International-Pigou-Taxation Tariffs.
It is based on a new Economic Model (Environmental-Economics vs. Ecological-Economics), Price-Theory, Market-Theory and Intra- Inter-State-Market-Theory.
We deliver an AI-Based-True-Costing-Pricing-Pigou-Taxation-Tariffs-Model for ALL Product-Classes, Product-Types and Product-Groups.
It uses AI-Based new Product-Chemical-Detection-Sensoring-Modules (Microphotonic-Spectrometric-Sensor-Chips) as well as new Global-Product-Specification-Detection and at least introduces a draft for a new Internationally-Punishable-Global-Chemical-Products-Ingredients-Specification-Documents-Agreement.
AI-Based Social Eco Market Planning State System - AISEMPSS - Bangert I-KI-BA Aachen
The Possibility of Extreme Global Depression and Climate- and Nutrition-Ressource-Conflicts (Wars) is rising exponentially and this not only refers to the Asian-Pacific-Region.
We all know the desastrous effects of the Great Depression 1929. The weakest scenario (10% Loss) effects this time are more massive (Pic3). If we add the effects of AI-Labour-Loss, we get a GDP decline of around 20% in the weakest scenario - and already around 2030. This will have more than desastrous effects and no New Keynsianism and/or New Monetarism will be able to soften these effects.
This analysis greatly reinforces the urgency for the theory- and practice-approach of an international and sanctionable Pigou-Eco-Customs-Tax-Agreement as it is listed in the proceeding post here below - AI True Cost Economic Model and International Agreement Draft.
In Climate and Conflict (2015) Marshall Burke, Solomon M. Hsiang and Edward Miguel make plausible conclusions.
But there is a fraction of 'experts' who published a factor-ranking concerning armed-conflict-risk-factors, where climate-change is low rated and Low-Socioeconomic-Development - for example - is highest rated. The Factor-Analysis in their research-design is wrong. What will cause the strength of the factor SocioEconomic-Developement? Yes - the root-cause-factor is climate. Following the causal analysis theory and the causal model of Judea Pearl all other factors are depending on the climate factor.
https://www.washingtonpost.com/politics/2019/07/11/how-does-climate-change-impact-conflict-world/
https://woods.stanford.edu/publications/climate-risk-factor-armed-conflict
https://www.nature.com/articles/s41586-019-1300-6.epdf
https://www.businessinsider.de/climate-change-capitalism-economic-threat-worse-than-depression-2019-2?r=US&IR=T
http://web.stanford.edu/~mburke/climate/map.php
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