List of artificial intelligence projects#Natural language processing

• Blue Brain Project, an attempt to create a synthetic brain by reverse-engineering the mammalian brain down to the molecular level.{{Cite web |last=Graham-Rowe |first=Duncan |title=Mission to build a simulated brain begins |url=https://www.newscientist.com/article/dn7470-mission-to-build-a-simulated-brain-begins/ |access-date=2024-06-06 |website=New Scientist |language=en-US}}
• Google Brain, a deep learning project part of Google X attempting to have intelligence similar or equal to human-level.{{Cite web |date=2020-02-06 |title=What is Google Brain? |url=https://www.geeksforgeeks.org/what-is-google-brain/ |access-date=2024-06-06 |website=GeeksforGeeks |language=en-US}}
• Human Brain Project, ten-year scientific research project, based on exascale supercomputers.{{Cite journal |last=Siva |first=Nayanah |title=What happened to the Human Brain Project? |url=https://doi.org/10.1016/S0140-6736(23)02346-2 |journal=The Lancet |date=2023 |volume=402 |issue=10411 |pages=1408–1409 |doi=10.1016/s0140-6736(23)02346-2 |pmid=37866363 |issn=0140-6736}}

{{further|List of cognitive architectures}}

• 4CAPS, developed at Carnegie Mellon University under Marcel A. JustJust, M. A., & Varma, S. (2007). The organization of thinking: What functional brain imaging reveals about the neuroarchitecture of complex cognition. Cognitive, Affective, & Behavioral Neuroscience, 7(3), 153-191.
• ACT-R, developed at Carnegie Mellon University under John R. Anderson.{{Cite web |title=ACT-R » Software |url=http://act-r.psy.cmu.edu/software/ |access-date=2024-06-06}}
• AIXI, Universal Artificial Intelligence developed by Marcus Hutter at IDSIA and ANU.{{cite book |author=Marcus Hutter |url=https://archive.org/details/arxiv-cs0004001 |title=A Theory of Universal Artificial Intelligence based on Algorithmic Complexity |year=2000 |bibcode=2000cs........4001H |arxiv=cs.AI/0004001}}
• CALO, a DARPA-funded, 25-institution effort to integrate many artificial intelligence approaches (natural language processing, speech recognition, machine vision, probabilistic logic, planning, reasoning, many forms of machine learning) into an AI assistant that learns to help manage your office environment.{{Cite web |last= |first= |date=2020-07-30 |title=75 Years of Innovation: CALO (Cognitive Assistant that Learns and Organizes) |url=https://www.sri.com/75-years-of-innovation/75-years-of-innovation-calo-cognitive-assistant-that-learns-and-organizes/ |access-date=2024-06-06 |website=SRI |language=en-US}}
• CHREST, developed under Fernand Gobet at Brunel University and Peter C. Lane at the University of Hertfordshire.{{Cite web |title=CHREST {{!}} CHREST |url=http://chrest.info/chrest.html |access-date=2024-06-06 |website=chrest.info}}
• CLARION, developed under Ron Sun at Rensselaer Polytechnic Institute and University of Missouri.{{Cite web |title=The CLARION Project Home Page |url=http://www.cogsci.rpi.edu/~rsun/clarion.html |archive-url=https://web.archive.org/web/20100818214002/http://www.cogsci.rpi.edu/~rsun/clarion.html |archive-date=2010-08-18 |language=en-US}}
• CoJACK, an ACT-R inspired extension to the JACK multi-agent system that adds a cognitive architecture to the agents for eliciting more realistic (human-like) behaviors in virtual environments.{{Cite journal |last1=Ritter |first1=Frank E. |last2=Bittner |first2=Jennifer L. |last3=Kase |first3=Sue E. |last4=Evertsz |first4=Rick |last5=Pedrotti |first5=Matteo |last6=Busetta |first6=Paolo |year=2012 |title=CoJACK: A high-level cognitive architecture with demonstrations of moderators, variability, and implications for situation awareness |url=https://doi.org/10.1016/j.bica.2012.04.004 |journal=Biologically Inspired Cognitive Architectures |volume=1 |pages=6 |doi=10.1016/j.bica.2012.04.004 |issn=2212-683X}}
• Copycat, by Douglas Hofstadter and Melanie Mitchell at the Indiana University.{{Cite book |last=Hofstadter |first=Douglas R. |url=https://pcl.sitehost.iu.edu/rgoldsto/courses/concepts/copycat.pdf |title=Fluid concepts & creative analogies: computer models of the fundamental mechanisms of thought |date=1995 |publisher=Basic Books |others=Fluid Analogies Research Group |isbn=978-0-465-05154-0 |location=New York |pages=205 |language=en-US |chapter=The Copycat Project: A Model Of Mental Fluidity and Analogy-making}}
• DUAL, developed at the New Bulgarian University under Boicho Kokinov.{{Cite web |title=DUAL Cognitive Architecture |url=https://alexpetrov.com/proj/dual/ |access-date=2024-06-06 |website=alexpetrov.com}}
• FORR developed by Susan L. Epstein at The City University of New York.{{Cite web |title=FORR |url=https://www.cs.hunter.cuny.edu/~epstein/html/forr.html |access-date=2024-06-06 |website=www.cs.hunter.cuny.edu}}
• IDA and LIDA, implementing Global Workspace Theory, developed under Stan Franklin at the University of Memphis.{{Cite web |title=An Introduction to the LIDA Cognitive Architecture with Robotics Applications |url=https://ccrg.cs.memphis.edu/ |website=Cognitive Computing Research Group - University of Memphis |language=en-US}}
• OpenCog Prime, developed using the OpenCog Framework.{{Cite web |last=Hart |first=David |date=2009-02-27 |title=OpenCog: Open-Source Artificial General Intelligence for Virtual Worlds |url=http://www.cybertechnews.org/?p=915 |archive-url=https://web.archive.org/web/20090306053354/http://www.cybertechnews.org/?p=915 |archive-date=2009-03-06 |website=Cyber Tech News}}
• Procedural Reasoning System (PRS), developed by Michael Georgeff and Amy L. Lansky at SRI International.{{Cite web |last1=Georgeff |first1=Michael |last2=Lansky |first2=Amy |date=1986-01-01 |title=A System For Reasoning In Dynamic Domains: Fault Diagnosis On The Space Shuttle |url=https://www.sri.com/publication/ocean-space-pubs/a-system-for-reasoning-in-dynamic-domains-fault-diagnosis-on-the-space-shuttle/ |access-date=2024-06-06 |website=SRI |language=en-US}}
• Psi-Theory developed under Dietrich Dörner at the Otto-Friedrich University in Bamberg, Germany.{{Cite book |last=Dörner |first=Dietrich |title=Bauplan für eine Seele |date=1999 |publisher=Rowohlt Verl |isbn=978-3-498-01288-5 |edition=1. Aufl |location=Reinbek bei Hamburg |language=de}}
• Soar, developed under Allen Newell and John Laird at Carnegie Mellon University and the University of Michigan.{{Cite book |title=The Soar Cognitive Architecture |url=https://mitpress.mit.edu/9780262538534/the-soar-cognitive-architecture/ |access-date=2024-06-06 |language=en-US |isbn=9780262538534 |last1=Laird |first1=John E. |date=20 August 2019 |publisher=MIT Press }}
• Society of Mind and its successor The Emotion Machine proposed by Marvin Minsky.{{Cite book |last=Minsky |first=Marvin |title=The society of mind |date=1986 |publisher=Simon and Schuster |isbn=978-0-671-60740-1 |location=New York}}
• Subsumption architectures, developed e.g. by Rodney Brooks{{Cite journal |last=Brooks |first=R. |date=1986 |title=A robust layered control system for a mobile robot |url=https://ieeexplore.ieee.org/document/1087032 |journal=IEEE Journal on Robotics and Automation |volume=2 |issue=1 |pages=14–23 |doi=10.1109/JRA.1986.1087032 |issn=0882-4967|hdl=1721.1/6432 |hdl-access=free }} (though it could be argued whether they are cognitive).

• AlphaGo, software developed by Google that plays the Chinese board game Go.{{Cite news |date=2016-03-12 |title=Artificial intelligence: Google's AlphaGo beats Go master Lee Se-dol |url=https://www.bbc.com/news/technology-35785875 |access-date=2024-06-07 |work=BBC News |language=en-GB}}
• Chinook, a computer program that plays English draughts; the first to win the world champion title in the competition against humans.{{Cite web |title=Chinook - World Man-Machine Checkers Champion |url=https://webdocs.cs.ualberta.ca/~chinook/ |access-date=2024-06-07 |website=University of Alberta}}
• Deep Blue, a chess-playing computer developed by IBM which beat Garry Kasparov in 1997.{{Cite book |last=Pandolfini |first=Bruce |url=https://books.google.com/books?id=4eZh2giYL5MC |title=Kasparov and Deep Blue: The Historic Chess Match Between Man and Machine |date=1997-10-16 |publisher=Simon and Schuster |isbn=978-0-684-84852-5 |page=7 |language=en}}
• Halite, an artificial intelligence programming competition created by Two Sigma in 2016.{{Cite web |date=2016-11-02 |title=Cornell Tech - Two Sigma Announces Public Launch of Halite, A.I. Coding Game |url=https://tech.cornell.edu/news/two-sigma-announces-public-launch-of-halite-ai-coding-game/ |access-date=2024-06-07 |website=Cornell Tech |language=en}}
• Libratus, a poker AI that beat world-class poker players in 2017, intended to be generalisable to other applications.{{Cite web |date=2017-01-31 |title=Libratus Poker AI Beats Humans for $1.76m. Is End of |url=https://www.pokerlistings.com/libratus-poker-ai-smokes-humans-for-1-76m-is-this-the-end-42839 |access-date=2024-06-07 |website=PokerListings |language=en}}
• The Matchbox Educable Noughts and Crosses Engine (sometimes called the Machine Educable Noughts and Crosses Engine or MENACE) was a mechanical computer made from 304 matchboxes designed and built by artificial intelligence researcher Donald Michie in 1961.{{Cite web |last=Child |first=Oliver |title=Menace: the Machine Educable Noughts And Crosses Engine |url=http://chalkdustmagazine.com/features/menace-machine-educable-noughts-crosses-engine/ |archive-url=https://web.archive.org/web/20161019141834/http://chalkdustmagazine.com/features/menace-machine-educable-noughts-crosses-engine/ |archive-date=2016-10-19 |access-date=2024-06-07 |website=Chalkdust Magazine |date=13 March 2016 |language=en}}
• Quick, Draw!, an online game developed by Google that challenges players to draw a picture of an object or idea and then uses a neural network to guess what the drawing is.{{Cite magazine |last=Burgess |first=Matt |title=You can now play a Pictionary-style game called Quick Draw against Google's AI |url=https://www.wired.com/story/google-draw-ai-artificial-intelligence-experiments/ |access-date=2024-06-07 |magazine=Wired |language=en-US |issn=1059-1028}}
• The Samuel Checkers-playing Program (1959) was among the world's first successful self-learning programs, and as such a very early demonstration of the fundamental concept of artificial intelligence (AI).{{Cite book |last=Sutton |first=Richard |url=https://web.stanford.edu/class/psych209/Readings/SuttonBartoIPRLBook2ndEd.pdf |title=Reinforcement Learning: An Introduction |publisher=MIT Press |year=1997 |page=279 |language=en |chapter=14.2 Samuel's Checkers Player}}
• Stockfish AI, an open source chess engine currently ranked the highest in many computer chess rankings.{{Cite web |title=About |url=https://stockfishchess.org/ |access-date=2024-06-07 |website=Stockfish |language=en}}
• TD-Gammon, a program that learned to play world-class backgammon partly by playing against itself (temporal difference learning with neural networks).{{Citation |title=TD-Gammon |date=2010 |encyclopedia=Encyclopedia of Machine Learning |pages=955–956 |editor-last=Sammut |editor-first=Claude |url=https://doi.org/10.1007/978-0-387-30164-8_813 |access-date=2024-06-07 |place=Boston, MA |publisher=Springer US |language=en |doi=10.1007/978-0-387-30164-8_813 |isbn=978-0-387-30164-8 |editor2-last=Webb |editor2-first=Geoffrey I.}}

• Serenata de Amor, project for the analysis of public expenditures and detect discrepancies.{{Cite web |date=2017-01-25 |title=Sistema que fiscaliza gastos de deputados gera 680 denúncias na Câmara |trans-title=System that monitors parliamentary spending generates 680 complaints in the Chamber of Deputies |url=https://g1.globo.com/politica/noticia/sistema-que-fiscaliza-gastos-de-deputados-gera-680-denuncias-na-camara.ghtml |access-date=2024-06-07 |website=G1 |language=pt-br}}

• Alice (Microsoft), a project from Microsoft Research Lab aimed at improving decision-making in Economics
• Braina, an intelligent personal assistant application with a voice interface for Windows OS.{{Cite web |title=Free Artificial Intelligence (AI) software for your PC |url=https://www.zdnet.com/article/free-artificial-intelligence-ai-software-for-your-pc/ |access-date=2024-06-07 |website=ZDNET |language=en}}
• Cyc, an attempt to assemble an ontology and database of everyday knowledge, enabling human-like reasoning.{{Cite web |last=Fisher |first=I. A. |date=2024-04-17 |title=Cyc: history's forgotten AI project |url=https://outsiderart.substack.com/p/cyc-historys-forgotten-ai-project |access-date=2024-06-07 |website=Outsider Art}}
• Eurisko, a language by Douglas Lenat for solving problems which consists of heuristics, including some for how to use and change its heuristics.{{Cite web |last=Johnson |first=George |year=1984 |title=Eurisko, The Computer With A Mind Of Its Own |url=https://aliciapatterson.org/stories/eurisko-computer-mind-its-own |archive-url=https://web.archive.org/web/20190429090429/https://aliciapatterson.org/stories/eurisko-computer-mind-its-own |archive-date=2019-04-29 |access-date=2024-06-07 |website=The Alicia Patterson Foundation |language=en-us}}
• Google Now, an intelligent personal assistant with a voice interface in Google's Android and Apple Inc.'s iOS, as well as Google Chrome web browser on personal computers.{{Cite magazine |last=Luckerson |first=Victor |title=This May Be Google's Coolest Invention Ever |url=https://time.com/google-now/ |access-date=2024-06-07 |magazine=Time}}
• Holmes a new AI created by Wipro.{{Cite web |title=Wipro HOLMES™ |url=https://www.thewealthmosaic.com/vendors/wipro/wipro-holmestm/ |access-date=2024-06-07 |website=The Wealth Mosaic}}
• Microsoft Cortana, an intelligent personal assistant with a voice interface in Microsoft's various Windows 10 editions.{{Cite web |last=Levy |first=Karyne |title=Microsoft Has Its Own Version Of Siri, A Voice Assistant Called 'Cortana' |url=https://www.businessinsider.com/microsofts-cortana-voice-assistant-2014-4 |access-date=2024-06-07 |website=Business Insider |language=en-US}}
• Mycin, an early medical expert system.{{Cite journal |last=Yu |first=Victor L. |date=1979-09-21 |title=Antimicrobial Selection by a Computer: A Blinded Evaluation by Infectious Diseases Experts |url=http://jama.jamanetwork.com/article.aspx?doi=10.1001/jama.1979.03300120033020 |journal=JAMA |language=en |volume=242 |issue=12 |pages=1279–1282 |doi=10.1001/jama.1979.03300120033020 |pmid=480542 |issn=0098-7484}}
• Open Mind Common Sense, a project based at the MIT Media Lab to build a large common sense knowledge base from online contributions.{{Cite web |title=Project Overview ‹ Open Mind Common Sense |url=https://www.media.mit.edu/projects/open-mind-common-sense/overview/ |access-date=2024-06-07 |website=MIT Media Lab}}
• Siri, an intelligent personal assistant and knowledge navigator with a voice-interface in Apple Inc.'s iOS and macOS.{{Cite web |date=2013-01-22 |title=SIRI RISING: The Inside Story Of Siri's Origins -- And Why She Could Overshadow The iPhone |url=https://www.huffpost.com/entry/siri-do-engine-apple-iphone_n_2499165 |access-date=2024-06-07 |website=HuffPost |language=en}}
• SNePS, simultaneously a logic-based, frame-based, and network-based knowledge representation, reasoning, and acting system.{{Cite book |url=https://cse.buffalo.edu/~shapiro/Papers/sha79d.pdf |title=Associative networks: representation and use of knowledge by computers |date=1979 |publisher=Academic Press |isbn=978-0-12-256380-5 |editor-last=Findler |editor-first=N. V. |location=New York |pages=179–203 |language=en-US |chapter=The SNePS semantic network processing system}}
• Viv (software), a new AI by the creators of Siri.{{Cite web |last=Kastrenakes |first=Jacob |date=2016-05-04 |title=Siri's creators will unveil their new AI bot on Monday |url=https://www.theverge.com/2016/5/4/11593564/viv-labs-unveiling-monday-new-ai-from-siri-creators |access-date=2024-06-07 |website=The Verge |language=en}}
• Wolfram Alpha, an online service that answers queries by computing the answer from structured data.{{Cite news |date=2009-05-18 |title=Wolfram 'search engine' goes live |url=http://news.bbc.co.uk/2/hi/technology/8052798.stm |access-date=2024-06-07 |language=en-GB}}
• MindsDB, is an AI automation platform for building AI/ML powered features and applications.{{Cite web | url=https://www.computerweekly.com/blog/Open-Source-Insider/MindsDB-drives-AI-for-open-source-machine-learning| title=MindsDB drives AI for open source machine learning | accessdate=2024-11-20}}

• AIBO, the robot pet for the home, grew out of Sony's Computer Science Laboratory (CSL).{{Cite web |title=Sony Launches Four-Legged Entertainment Robot |url=https://www.sony.com/en/SonyInfo/News/Press/199905/99-046/ |access-date=2024-06-07 |website=Sony |language=en-US}}
• Cog, a robot developed by MIT to study theories of cognitive science and artificial intelligence, now discontinued.{{Cite web |title=Cog Project Overview |url=https://groups.csail.mit.edu/lbr/humanoid-robotics-group/cog/overview.html |access-date=2024-06-07 |website=groups.csail.mit.edu}}

• Melomics, a bioinspired technology for music composition and synthesization of music, where computers develop their own style, rather than mimic musicians.{{Cite web |title=Artificial music: The computers that create melodies |url=https://www.bbc.com/future/article/20140808-music-like-never-heard-before |access-date=2024-06-07 |website=BBC Future |date=8 August 2014 |language=en-GB}}

• AIML, an XML dialect for creating natural language software agents.{{Cite web |title=AIML Foundation |url=http://www.aiml.foundation/doc.html |access-date=2024-06-07 |website=www.aiml.foundation}}
• Apache Lucene, a high-performance, full-featured text search engine library written entirely in Java.{{Cite web |title=Welcome to Apache Lucene |url=https://lucene.apache.org/index.html |access-date=2024-06-07 |website=lucene.apache.org}}
• Apache OpenNLP, a machine learning based toolkit for the processing of natural language text. It supports the most common NLP tasks, such as tokenization, sentence segmentation, part-of-speech tagging, named entity extraction, chunking and parsing.{{Cite web |title=Apache OpenNLP |url=https://opennlp.apache.org/index.html |access-date=2024-06-07 |website=opennlp.apache.org}}
• Artificial Linguistic Internet Computer Entity (A.L.I.C.E.), a natural language processing chatterbot.{{cite web |title=Alicebot Technology History |url=http://www.alicebot.org/history/technology.html |url-status=dead |archive-url=https://web.archive.org/web/20171230095936/http://www.alicebot.org/history/technology.html |archive-date=2017-12-30 |accessdate=2024-06-07 |website=alicebot.org}}
• ChatGPT, a chatbot built on top of OpenAI's GPT-3.5 and GPT-4 family of large language models.{{Cite web |last=Edwards |first=Benj |date=2023-03-14 |title=OpenAI's GPT-4 exhibits "human-level performance" on professional benchmarks |url=https://arstechnica.com/information-technology/2023/03/openai-announces-gpt-4-its-next-generation-ai-language-model/ |access-date=2024-06-07 |website=Ars Technica |language=en-us}}
• Claude, a family of large language models developed by Anthropic and launched in 2023. Claude LLMs achieved high coding scores in several recognized LLM benchmarks. [https://www.swebench.com/] [https://paperswithcode.com/sota/code-generation-on-humaneval]
• Cleverbot, successor to Jabberwacky, now with 170m lines of conversation, Deep Context, fuzziness and parallel processing. Cleverbot learns from around 2 million user interactions per month.{{Cite web |last=Saenz |first=Aaron |date=2010-01-13 |title=Cleverbot Chat Engine Is Learning From The Internet To Talk Like A Human |url=https://singularityhub.com/2010/01/13/cleverbot-chat-engine-is-learning-from-the-internet-to-talk-like-a-human/ |access-date=2024-06-07 |website=Singularity Hub |language=en-US}}
• ELIZA, a famous 1966 computer program by Joseph Weizenbaum, which parodied person-centered therapy.{{Cite web |last= |date=2012-09-13 |title=Alan Turing at 100 |url=https://news.harvard.edu/gazette/story/2012/09/alan-turing-at-100/ |access-date=2024-06-07 |website=Harvard Gazette |language=en-US}}
• FreeHAL, a self-learning conversation simulator (chatterbot) which uses semantic nets to organize its knowledge to imitate a very close human behavior within conversations.{{Cite web |title=About - FreeHAL |url=https://freehal.github.io/index.html |access-date=2024-06-07 |website=freehal.github.io}}
• Gemini, a family of multimodal large language model developed by Google's DeepMind.{{Cite news |last=Grant |first=Nico |date=2023-05-10 |title=Google Builds on Tech's Latest Craze With Its Own A.I. Products |url=https://www.nytimes.com/2023/05/10/technology/google-ai-products.html |access-date=2024-06-07 |work=The New York Times |language=en-US |issn=0362-4331}} Drives the Gemini chatbot, formerly known as Bard.{{Cite web |title=From Bard to Gemini: Google's ChatGPT Competitor Gets a New Name and a New App |url=https://www.cnet.com/tech/from-bard-to-gemini-googles-chatgpt-competitor-gets-a-new-name-and-a-new-app/ |access-date=2024-06-07 |website=CNET |language=en}}
• GigaChat, a chatbot by Russian Sberbank.{{Cite web |date=2023-04-24 |title=Russia's Sberbank releases ChatGPT rival GigaChat |url=https://www.reuters.com/technology/russias-sberbank-releases-chatgpt-rival-gigachat-2023-04-24/ |access-date=2024-06-07 |website=Reuters |language=en}}
• GPT-3, a 2020 language model developed by OpenAI that can produce text difficult to distinguish from that written by a human.{{Cite web |date=2023-09-01 |title=From GPT-3 to Human-Like Prose: Assessing the Effectiveness of Text Generation Models |url=https://aicontentfy.com/en/blog/from-to-human-like-prose-assessing-of-text-generation-models |access-date=2024-06-07 |website=AIContentfy |language=en}}
• Jabberwacky, a chatbot by Rollo Carpenter, aiming to simulate natural human chat.{{Cite web |title=No One's Talking About The Amazing Chatbot That Passed The Turing Test 3 Years Ago {{!}} Business Insider India |url=https://www.businessinsider.in/no-ones-talking-about-the-amazing-chatbot-that-passed-the-turing-test-3-years-ago/articleshow/36452106.cms |access-date=2024-06-07 |website=Business Insider |language=en}}
• LaMDA, a family of conversational neural language models developed by Google.{{Cite web |title=Google I/O 2021: Google unveils LaMDA |url=https://www.zdnet.com/article/google-io-google-unveils-new-conversational-language-model-lamda/ |access-date=2024-06-07 |website=ZDNET |language=en}}
• LLaMA, a 2023 language model family developed by Meta that includes 7, 13, 33 and 65 billion parameter models.[https://ai.meta.com/blog/large-language-model-llama-meta-ai/]
• Mycroft, a free and open-source intelligent personal assistant that uses a natural language user interface.{{Cite web |last=Bhartiya |first=Swapnil |date=2016-01-17 |title=Mycroft: Linux's Own AI |url=https://www.linux.com/news/mycroft-linuxs-own-ai/ |access-date=2024-06-07 |website=Linux.com |language=en-US}}
• PARRY, another early chatterbot, written in 1972 by Kenneth Colby, attempting to simulate a paranoid schizophrenic.{{Cite web |title=Parry the AI chatterbot |url=https://phrasee.co/news/parry-the-a-i-chatterbot-from-1972/ |access-date=2024-06-07 |website=Phrasee |language=en-US}}
• SHRDLU, an early natural language processing computer program developed by Terry Winograd at MIT from 1968 to 1970.{{Cite journal |last=Winograd |first=Terry |date=1971-01-01 |title=Procedures as a Representation for Data in a Computer Program for Understanding Natural Language |url=https://dspace.mit.edu/handle/1721.1/7095 |journal=AI Technical Reports |hdl=1721.1/7095 |language=en-US}}
• SYSTRAN, a machine translation technology by the company of the same name, used by Yahoo!, AltaVista and Google, among others.{{Cite web |last=Giussani |first=Bruno |date=1998-03-10 |title=Free Translation of Language Proves More Divertimento Than a Keg of Monkeys |url=https://archive.nytimes.com/www.nytimes.com/library/tech/98/03/cyber/eurobytes/10euro.html |access-date=2024-06-07 |website=The New York Times |language=en}}
• DBRX, 136 billion parameter open sourced large language model developed by Mosaic ML and Databricks.{{Cite magazine |last=Knight |first=Will |title=Inside the Creation of the World's Most Powerful Open Source AI Model |url=https://www.wired.com/story/dbrx-inside-the-creation-of-the-worlds-most-powerful-open-source-ai-model/ |access-date=2024-06-07 |magazine=Wired |language=en-US |issn=1059-1028}}

{{further|List of speech recognition software}}

• CMU Sphinx, a group of speech recognition systems developed at Carnegie Mellon University.{{Cite journal |last1=El Amrani |first1=Mohamed Yassine |last2=Rahman |first2=M.M. Hafizur |last3=Wahiddin |first3=Mohamed Ridza |last4=Shah |first4=Asadullah |year=2016 |title=Building CMU Sphinx language model for the Holy Quran using simplified Arabic phonemes |url=https://doi.org/10.1016/j.eij.2016.04.002 |journal=Egyptian Informatics Journal |volume=17 |issue=3 |pages=305–314 |doi=10.1016/j.eij.2016.04.002 |issn=1110-8665}}
• DeepSpeech, an open-source Speech-To-Text engine based on Baidu's deep speech research paper.{{cite web |title=A TensorFlow implementation of Baidu's DeepSpeech architecture |date=2017-12-05 |url=https://github.com/mozilla/DeepSpeech |publisher=Mozilla |access-date=2017-12-05}}
• Whisper, an open-source speech recognition system developed at OpenAI.{{Cite web |last=Wiggers |first=Kyle |date=2022-09-21 |title=OpenAI open-sources Whisper, a multilingual speech recognition system |url=https://techcrunch.com/2022/09/21/openai-open-sources-whisper-a-multilingual-speech-recognition-system/ |access-date=2024-06-07 |website=TechCrunch |language=en-US}}

{{further|Comparison of speech synthesizers}}

• 15.ai, a real-time artificial intelligence text-to-speech tool developed by an anonymous researcher from MIT.{{Cite news |last=Clayton |first=Natalie |date=2021-01-19 |title=Make the cast of TF2 recite old memes with this AI text-to-speech tool |url=https://www.pcgamer.com/make-the-cast-of-tf2-recite-old-memes-with-this-ai-text-to-speech-tool/ |access-date=2024-06-07 |work=PC Gamer |language=en}}
• Amazon Polly, a speech synthesis software by Amazon.{{Cite web |last=Perez |first=Sarah |date=2018-02-08 |title=Amazon launches a Polly WordPress plugin that turns blog posts into audio, including podcasts |url=https://techcrunch.com/2018/02/08/amazon-launches-a-polly-wordpress-plugin-that-turns-blog-posts-into-audio-including-podcasts/ |access-date=2024-06-07 |website=TechCrunch |language=en-US}}
• Festival Speech Synthesis System, a general multi-lingual speech synthesis system developed at the Centre for Speech Technology Research (CSTR) at the University of Edinburgh.{{Cite web |title=The Festival Speech Synthesis System |url=https://www.cstr.ed.ac.uk/projects/festival/ |access-date=2024-06-07 |website=The Centre for Speech Technology Research - The University of Edinburgh}}
• WaveNet, a deep neural network for generating raw audio.{{Cite web |last=Coldewey |first=Devin |date=2016-09-09 |title=Google's WaveNet uses neural nets to generate eerily convincing speech and music |url=https://techcrunch.com/2016/09/09/googles-wavenet-uses-neural-nets-to-generate-eerily-convincing-speech-and-music/ |access-date=2024-06-07 |website=TechCrunch |language=en-US}}

• HeyGen is a video creation platform that generates digital avatars that recite and translate text inputs into varying languages.{{cite news |last=Fried |first=Ina |title=How to create your own personal deepfake |url=https://www.axios.com/2023/09/01/personal-deepfake-ai-video-avatar |work=Axios |date=1 September 2023}}
• Synthesia is a video creation and editing platform, with AI-generated avatars that resemble real human beings.{{Cite web |last=Heikkiläarchive |first=Melissa |title=An AI startup made a hyperrealistic deepfake of me that's so good it's scary |url=https://www.technologyreview.com/2024/04/25/1091772/new-generative-ai-avatar-deepfake-synthesia/ |access-date=2024-06-07 |website=MIT Technology Review |language=en}}

• 1 the Road, the first novel marketed by an AI.{{Cite web |last=Hornigold |first=Thomas |date=2018-10-25 |title=The First Novel Written by AI Is Here—and It's as Weird as You'd Expect It to Be |url=https://singularityhub.com/2018/10/25/ai-wrote-a-road-trip-novel-is-it-a-good-read/ |access-date=2024-06-07 |website=Singularity Hub |language=en-US}}
• AlphaFold is a deep learning based system developed by DeepMind for prediction of protein structure.{{Cite web |date=2022-10-13 |title=AlphaFold |url=https://deepmind.google/technologies/alphafold/ |access-date=2024-06-07 |website=Google DeepMind |language=en}}
• Otter.ai is a speech-to-text synthesis and summary platform, which allows users to record online meetings as text. It additionally creates live captions during meetings.{{Cite news |last=Markoff |first=John |date=2019-10-02 |title=From Your Mouth to Your Screen, Transcribing Takes the Next Step |url=https://www.nytimes.com/2019/10/02/technology/automatic-speech-transcription-ai.html |access-date=2024-06-07 |work=The New York Times |language=en-US |issn=0362-4331}}
• Synthetic Environment for Analysis and Simulations (SEAS), a model of the real world used by Homeland security and the United States Department of Defense that uses simulation and AI to predict and evaluate future events and courses of action.{{cite web |url= https://www.theregister.co.uk/2007/06/23/sentient_worlds/ |title= Sentient world: war games on the grandest scale|last1= Baard|first1= Mark |date= 23 June 2007 |website= The Register }}

• Apache Mahout, a library of scalable machine learning algorithms.{{Cite web |title=Apache Mahout: Highly Scalable Machine Learning Algorithms |url=https://www.infoq.com/news/2009/04/mahout/ |access-date=2024-06-07 |website=InfoQ |language=en}}
• Deeplearning4j, an open-source, distributed deep learning framework written for the JVM.{{Cite web |last=Novet |first=Jordan |date=2014-06-02 |title=Skymind launches with open-source, plug-and-play deep learning features for your app |url=https://venturebeat.com/dev/skymind-launches-with-open-source-plug-and-play-deep-learning-features-for-your-app/ |access-date=2024-06-07 |website=VentureBeat |language=en-US}}
• Keras, a high level open-source software library for machine learning (works on top of other libraries).{{Cite web |title=Keras: Deep Learning for humans |url=https://keras.io/keras_3/ |access-date=2024-06-07 |website=keras.io}}
• Microsoft Cognitive Toolkit (previously known as CNTK), an open source toolkit for building artificial neural networks.{{Cite web |last= |date=2017-01-22 |title=The Microsoft Cognitive Toolkit - Cognitive Toolkit - CNTK |url=https://learn.microsoft.com/en-us/previous-versions/cognitive-toolkit/ |access-date=2024-06-07 |website=learn.microsoft.com |language=en-us}}
• OpenNN, a comprehensive C++ library implementing neural networks.{{Cite web |title=OpenNN, An Open Source Library For Neural Networks |url=https://www.kdnuggets.com/opennn-an-open-source-library-for-neural-networks |access-date=2024-06-07 |website=KDnuggets |language=en-US}}
• PyTorch, an open-source Tensor and Dynamic neural network in Python.{{Cite web |last=Ali |first=Moez |year=2023 |title=NLP with PyTorch: A Comprehensive Guide |url=https://www.datacamp.com/tutorial/nlp-with-pytorch-a-comprehensive-guide |access-date=2024-06-07 |website=Datacamp |language=en-US}}
• TensorFlow, an open-source software library for machine learning.{{Cite magazine |last=Metz |first=Cade |title=Google Just Open Sourced the Artificial Intelligence Engine at the Heart of Its Online Empire |url=https://www.wired.com/2015/11/google-open-sources-its-artificial-intelligence-engine/ |access-date=2024-06-07 |magazine=Wired |language=en-US |issn=1059-1028}}
• Theano, a Python library and optimizing compiler for manipulating and evaluating mathematical expressions, especially matrix-valued ones.{{cite journal |last=Bergstra |first=J. |author2=O. Breuleux |author3=F. Bastien |author4=P. Lamblin |author5=R. Pascanu |author6=G. Desjardins |author7=J. Turian |author8=D. Warde-Farley |author9=Y. Bengio |date=30 June 2010 |title=Theano: A CPU and GPU Math Expression Compiler |url=http://www.iro.umontreal.ca/~lisa/pointeurs/theano_scipy2010.pdf |journal=Proceedings of the Python for Scientific Computing Conference (SciPy) 2010}}

• Neural Designer, a commercial deep learning tool for predictive analytics.{{Cite web |title=A high performance solution for predictive analytics {{!}} Neural Designer Project {{!}} Fact Sheet {{!}} H2020 |url=https://cordis.europa.eu/project/id/672676 |access-date=2024-06-07 |website=CORDIS {{!}} European Commission |language=en}}
• Neuroph, a Java neural network framework.{{Cite web |title=Java Neural Network Framework Neuroph |url=https://neuroph.sourceforge.net/ |access-date=2024-06-07 |website=neuroph.sourceforge.net}}
• OpenCog, a GPL-licensed framework for artificial intelligence written in C++, Python and Scheme.
• PolyAnalyst: A commercial tool for data mining, text mining, and knowledge management.{{Citation |last1=Zhang |first1=Qingyu |title=Commercial Data Mining Software |date=2010 |work=Data Mining and Knowledge Discovery Handbook |pages=1245–1268 |editor-last=Maimon |editor-first=Oded |url=https://doi.org/10.1007/978-0-387-09823-4_65 |access-date=2024-06-07 |place=Boston, MA |publisher=Springer US |language=en |doi=10.1007/978-0-387-09823-4_65 |isbn=978-0-387-09823-4 |last2=Segall |first2=Richard S. |bibcode=2010dmak.book.1245Z |editor2-last=Rokach |editor2-first=Lior}}
• RapidMiner, an environment for machine learning and data mining, now developed commercially.{{Cite web |last=Norris |first=David |date=2013-11-15 |title=RapidMiner – a potential game changer - Bloor Research |url=https://www.bloorresearch.com/2013/11/rapidminer-a-potential-game-changer/,%20https://www.bloorresearch.com/2013/11/rapidminer-a-potential-game-changer/,%20https://www.bloorresearch.com/2013/11/rapidminer-a-potential-game-changer/ |access-date=2024-06-07 |website=www.bloorresearch.com |language=en-GB}}
• Weka, a free implementation of many machine learning algorithms in Java.{{Cite conference |last1=Holmes |first1=Geoffrey |last2=Donkin |first2=Andrew |last3=Witten |first3=Ian H. |year=1994 |title=Weka: A machine learning workbench |url=https://www.cs.waikato.ac.nz/~ml/publications/1994/Holmes-ANZIIS-WEKA.pdf |conference=Proceedings of the Second Australia and New Zealand Conference on Intelligent Information Systems, Brisbane, Australia}}

• Data Applied, a web based data mining environment.{{Cite web |last=Kirkpatrick |first=Marshall |date=2009-12-01 |title=Ex-Microsofties Launch $500 'Meaning Machine' For Large Data Sets |url=https://archive.nytimes.com/www.nytimes.com/external/readwriteweb/2009/12/01/01readwriteweb-ex-microsofties-launch-500-meaning-machine-22923.html |access-date=2024-06-07 |website=The New York Times}}
• Watson, a pilot service by IBM to uncover and share data-driven insights, and to spur cognitive applications.{{Cite web |last=Jackson |first=Joab |date=2014-01-09 |title=IBM bets big on Watson-branded cognitive computing |url=https://www.pcworld.com/article/443306/ibm-bets-big-on-watsonbranded-cognitive-computing.html |access-date=2024-06-07 |website=PCWorld |language=en}}

• Comparison of cognitive architectures
• Comparison of deep-learning software

{{reflist}}

• [https://github.com/search?q=artificial+intelligence&ref=searchresults&type=Repositories AI projects] on GitHub
• [http://sourceforge.net/directory/freshness:recently-updated/?q=artificial%20intelligence AI projects] on SourceForge

{{Artificial intelligence (AI)}}

{{DEFAULTSORT:List Of Artificial Intelligence Projects}}

Artificial intelligence projects

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