Meta AI is an American company owned by Meta (formerly Facebook) that develops artificial intelligence and augmented and artificial reality technologies. Meta AI deems itself an academic research laboratory, focused on generating knowledge for the AI community, and should not be confused with Meta's Applied Machine Learning (AML) team, which focuses on the practical applications of its products.

Meta AI
Company typeDivision
IndustryArtificial intelligence
FoundedDecember 11, 2015; 8 years ago (2015-12-11)
HeadquartersAstor Place, New York City, New York, U.S.
OwnerMeta Platforms

History edit

The laboratory was founded as Facebook Artificial Intelligence Research (FAIR) with locations at the headquarters in Menlo Park, California, London, United Kingdom, and a new laboratory in Manhattan. FAIR was officially announced in September 2013.[1] FAIR was first directed by New York University's Yann LeCun, a deep learning professor and Turing Award winner.[2] Working with NYU's Center for Data Science, FAIR's initial goal was to research data science, machine learning, and artificial intelligence and to "understand intelligence, to discover its fundamental principles, and to make machines significantly more intelligent".[3] Research at FAIR pioneered the technology that led to face recognition, tagging in photographs, and personalized feed recommendation.[4] Vladimir Vapnik, a pioneer in statistical learning, joined FAIR[5] in 2014. Vapnik is the co-inventor of the support-vector machine and one of the developers of the Vapnik–Chervonenkis theory.

FAIR opened a research center in Paris, France in 2015,[6] and subsequently launched smaller satellite research labs in Seattle, Pittsburgh, Tel Aviv, Montreal and London.[7] In 2016, FAIR partnered with Google, Amazon, IBM, and Microsoft in creating the Partnership on Artificial Intelligence to Benefit People and Society, an organization with a focus on open licensed research, supporting ethical and efficient research practices, and discussing fairness, inclusivity, and transparency.

In 2018, Jérôme Pesenti, former CTO of IBM's big data group, assumed the role of president of FAIR, while LeCun stepped down to serve as chief AI scientist.[8] In 2018, FAIR was placed 25th in the AI Research Rankings 2019, which ranked the top global organizations leading AI research.[9] FAIR quickly rose to eighth position in 2019,[10] and maintained eighth position in the 2020 rank.[11] FAIR had approximately 200 staff in 2018, and had the goal to double that number by 2020.[12]

FAIR's initial work included research in learning-model enabled memory networks, self-supervised learning and generative adversarial networks, text classification and translation, as well as computer vision.[3] FAIR released Torch deep-learning modules as well as PyTorch in 2017, an open-source machine learning framework,[3] which was subsequently used in several deep learning technologies, such as Tesla's autopilot [13] and Uber's Pyro.[14] Also in 2017, FAIR discontinued a research project once AI bots developed a language that was unintelligible to humans,[15] inciting conversations about dystopian fear of artificial intelligence going out of control.[16] However, FAIR clarified that the research had been shut down because they had accomplished their initial goal to understand how languages are generated, rather than out of fear.[15]

FAIR was renamed Meta AI following the rebranding that changed Facebook, Inc. to Meta Platforms Inc.[17]

In 2022, Meta AI predicted the 3D shape of 600 million potential proteins in two weeks.[18]

Current research edit

Natural language processing and conversational AI edit

Artificial intelligence communication requires a machine to understand natural language and to generate language that is natural. Meta AI seeks to improve these technologies to improve safe communication regardless of what language the user might speak.[19] Thus, a central task involves the generalization of natural language processing (NLP) technology to other languages. As such, Meta AI actively works on unsupervised machine translation.[20][21] Meta AI seeks to improve natural-language interfaces by developing aspects of chitchat dialogue such as repetition, specificity, response-relatedness and question-asking,[22] incorporating personality into image captioning,[23] and generating creativity-based language.[24]

LLaMA edit

In February 2023, Meta AI launched LLaMA (Large Language Model Meta AI), a large language model ranging from 7B to 65B parameters.[citation needed]

Hardware edit

MTIA v1 edit

The MTIA v1 is Meta's first-generation AI training and inference accelerator, developed specifically for Meta's recommendation workloads. It was fabricated using TSMC's 7 nm process technology and operates at a frequency of 800 MHz. In terms of processing power, the accelerator provides 102.4 TOPS at INT8 precision and 51.2 TFLOPS at FP16 precision, while maintaining a thermal design power (TDP) of 25 W.[25]

Meta AI offers options for users to customize their interaction with its features. Users are able to mute the AI chatbot on platforms like Facebook, Instagram, and WhatsApp,[26] temporarily halting notifications from the chatbot. Some platforms also offer the ability to hide certain AI elements from their interface. To locate the relevant settings, users can consult the platform's help documentation or settings menu.


Since May 2024, the Meta AI chatbot has summarized news from various outlets without linking directly to original articles, including in Canada, where news links are banned on its platforms. This use of news content without compensation has raised ethical and legal concerns, especially as Meta continues to reduce news visibility on its platforms.[27]

See also edit

References edit

  1. ^ "NYU "Deep Learning" Professor LeCun Will Head Facebook's New Artificial Intelligence Lab". TechCrunch. 9 December 2013. Retrieved 2022-05-08.
  2. ^ "Yann LeCun - A.M. Turing Award Laureate". Retrieved 2022-05-08.
  3. ^ a b c "FAIR turns five: What we've accomplished and where we're headed". Engineering at Meta. 2018-12-05. Retrieved 2022-05-08.
  4. ^ Metz, Cade (December 12, 2013). "Facebook's 'Deep Learning' Guru Reveals the Future of AI". Wired Business. Retrieved May 7, 2022.
  5. ^ "Facebook's AI team hires Vladimir Vapnik, father of the popular support vector machine algorithm". VentureBeat. 2014-11-25. Retrieved 2022-05-08.
  6. ^ Dillet, Romain (June 2, 2015). "Facebook Opens New AI Research Center in Paris". TechCrunch. Retrieved May 7, 2022.
  7. ^ "Facebook Opens New AI Research Center In Paris". TechCrunch. 2 June 2015. Retrieved 2022-05-08.
  8. ^ Dave, Greshgorn (January 23, 2018). "The head of Facebook's AI research is stepping into a new role as it shakes up management". Quartz. Retrieved May 7, 2022.
  9. ^ Chuvpilo, Gleb (2021-05-19). "Who's Ahead in AI Research? Insights from NIPS, Most Prestigious AI Conference". Medium. Retrieved 2022-05-08.
  10. ^ Chuvpilo, Gleb (2021-05-19). "AI Research Rankings 2019: Insights from NeurIPS and ICML, Leading AI Conferences". Medium. Retrieved 2022-05-08.
  11. ^ Chuvpilo, Gleb (2021-05-19). "AI Research Rankings 2020: Can the United States Stay Ahead of China?". Medium. Retrieved 2022-05-08.
  12. ^ Shead, Sam. "Facebook Plans To Double Size Of AI Research Unit By 2020". Forbes. Retrieved 2022-05-08.
  13. ^ Karpathy, Andrej. "PyTorch at Tesla - Andrej Karpathy, Tesla". YouTube.
  14. ^ "Pyro". Retrieved 2022-05-08.
  15. ^ a b "Facebook researchers shut down AI bots that started speaking in a language unintelligible to humans". Tech2. 2017-07-31. Retrieved 2022-05-08.
  16. ^ Magid, Larry. "Dystopian Fear Of Facebook's AI Experiment Is Highly Exaggerated". Forbes. Retrieved 2022-05-08.
  17. ^ Murphy Kelly, Samantha (October 29, 2021). "Facebook changes its company name to Meta". CNN Business. Retrieved May 7, 2022.
  18. ^ "Meta's new AI just predicted the shape of 600 million proteins in 2 weeks". Live Science. November 4, 2022.
  19. ^ "Meta AI Research Topic - Natural Language Processing". Retrieved 2022-05-08.
  20. ^ Lample, Guillaume; Ott, Myle; Conneau, Alexis; Denoyer, Ludovic; Ranzato, Marc'Aurelio (2018-08-13). "Phrase-Based & Neural Unsupervised Machine Translation". arXiv:1804.07755 [cs.CL].
  21. ^ Conneau, Alexis; Lample, Guillaume; Rinott, Ruty; Williams, Adina; Bowman, Samuel R.; Schwenk, Holger; Stoyanov, Veselin (2018-09-13). "XNLI: Evaluating Cross-lingual Sentence Representations". arXiv:1809.05053 [cs.CL].
  22. ^ See, Abigail; Roller, Stephen; Kiela, Douwe; Weston, Jason (2019-04-10). "What makes a good conversation? How controllable attributes affect human judgments". arXiv:1902.08654 [cs.CL].
  23. ^ Shuster, Kurt; Humeau, Samuel; Hu, Hexiang; Bordes, Antoine; Weston, Jason (2019-03-20). "Engaging Image Captioning Via Personality". arXiv:1810.10665 [cs.CV].
  24. ^ Fan, Angela; Lewis, Mike; Dauphin, Yann (2018-05-13). "Hierarchical Neural Story Generation". arXiv:1805.04833 [cs.CL].
  25. ^ Peters, Jay (2023-05-19). "Meta is working on a new chip for AI". The Verge. Retrieved 2023-06-07.
  26. ^ UBB, Ajit (May 2, 2024). "How to Turn OFF Meta AI Facebook". UBB.
  27. ^ "Meta walked away from news. Now the company's using it for AI content". The Washington Post. 21 May 2024. Archived from the original on 21 May 2024. Retrieved 22 May 2024.