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Fei-Fei Li

From Wikipedia, the free encyclopedia

Fei-Fei Li
Li at AI for Good in 2017
Born (1976-07-03) July 3, 1976 (age 48)[3]
NationalityAmerican
Alma mater
Known for
Awards
Scientific career
FieldsArtificial intelligence
Machine learning
Computer vision
Neuroscience[1]
Institutions
ThesisVisual recognition: computational models and human psychophysics (2005)
Doctoral advisor
Doctoral students
Websiteprofiles.stanford.edu/fei-fei-li Edit this at Wikidata

Fei-Fei Li (Chinese: 李飞飞; pinyin: Lǐ Fēifēi; born July 3, 1976) is a Chinese-American computer scientist, known for establishing ImageNet, the dataset that enabled rapid advances in computer vision in the 2010s.[4][5][6][7] She is the Sequoia Capital professor of computer science at Stanford University and former board director at Twitter.[8] Li is a co-director of the Stanford Institute for Human-Centered Artificial Intelligence and a co-director of the Stanford Vision and Learning Lab.[9][10] She served as the director of the Stanford Artificial Intelligence Laboratory from 2013 to 2018.[11][12][13]

In 2017, she co-founded AI4ALL, a nonprofit organization working to increase diversity and inclusion in the field of artificial intelligence.[14][15] Her research expertise includes artificial intelligence, machine learning, deep learning, computer vision and cognitive neuroscience.[16]

Li was named in the Time 100 AI Most Influential People list in 2023[17] and received the Intel Lifetime Achievements Innovation Award in the same year for her contributions to artificial intelligence.[18] She was elected as a member of the National Academy of Engineering[19] and the National Academy of Medicine in 2020,[20] and the American Academy of Arts and Sciences in 2021.[21]

On August 3, 2023, it was announced that Li was appointed to the United Nations Scientific Advisory Board, established by Secretary-General Antonio Guterres.[22][23] In 2024, Li made to the Gold House’s most impactful Asian A100 list.[24]

Early life and education

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Li was born in Beijing, China in 1976 and grew up in Chengdu, Sichuan.[25] She studied at Sichuan Chengdu No.7 High School.[26] When she was 12, her father emigrated to Parsippany, New Jersey from China.[5] When she was 16, she and her mother joined him in the United States.[26] She graduated from Parsippany High School in 1995.[5][27] She was inducted to the hall of fame at Parsippany High School in 2017.[28]

Li pursued her undergraduate studies at Princeton University. She received a Bachelor of Arts with a major in physics from Princeton University in 1999.[29] Li completed her senior thesis, titled "Auditory binaural correlogram difference: a new computational model for huggins dichotic pitch," under the supervision of Bradley Dickinson, professor of electrical engineering.[30] During her years at Princeton, she returned home most weekends to help run her family's dry cleaning business[5][31] and worked as a dishwasher to supplement the family income.[26]

Li then pursued her graduate studies at the California Institute of Technology, where she received a master's degree in electrical engineering in 2001 and a Doctor of Philosophy in electrical engineering in 2005.[29] Li completed her dissertation, titled "Visual Recognition: Computational Models and Human Psychophysics," under the primary supervision of Pietro Perona and secondary supervision of Christof Koch. Her graduate studies were supported by the National Science Foundation Graduate Research Fellowship and The Paul & Daisy Soros Fellowships for New Americans.[32]

Career and research

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From 2005 to 2006, Li was an assistant professor in the Electrical and Computer Engineering Department at the University of Illinois Urbana-Champaign, and from 2007 to 2009, she was an assistant professor in the Computer Science Department at Princeton University. She joined Stanford in 2009 as an assistant professor, and was promoted to associate professor with tenure in 2012, and then full professor in 2018.[33] At Stanford, Li served as the director of Stanford Artificial Intelligence Lab (SAIL) from 2013 to 2018. She became the founding co-director of Stanford's University-level initiative - the Human-Centered AI Institute, along with co-director Dr. John Etchemendy, former provost of Stanford University.[34]

On her sabbatical from Stanford University from January 2017 to fall of 2018, Li joined Google Cloud as its Chief Scientist of AI/ML and Vice President.[35] At Google, her team focused on democratizing AI technology and lowering the barrier for entrance to businesses and developers,[36] including the developments of products like AutoML.[37][38]

In September 2017, Google secured a contract from the Department of Defense called Project Maven, which aimed to use AI techniques to interpret images captured by drone cameras.[39][40] Google told employees who protested the company's work on Project Maven that their role was "specifically scoped to be for non-offensive purposes."[41] In June 2018, Google told employees it would not seek renewal of the contract.[40] In internal emails which were later leaked to reporters, Li expressed enthusiasm for the Google Cloud role in Project Maven, but warned against mentioning its AI component, saying that military AI is linked in the public mind with the danger of autonomous weapons. Asked about those leaked emails, Li told The New York Times, "I believe in human-centered AI to benefit people in positive and benevolent ways. It is deeply against my principles to work on any project that I think is to weaponize AI."[42]

In the fall of 2018, Li left Google and returned to Stanford University to continue her professorship.[43]

Li is also known for her non-profit work as the co-founder and chairperson of nonprofit organization AI4ALL, whose mission is to educate the next generation of AI technologists, thinkers and leaders by promoting diversity and inclusion through human-centered AI principles.[44][45][46][47][48] The program was created in collaboration with Melinda French Gates and Jensen Huang.[49][50]

Prior to establishing AI4ALL in 2017, Li and her former student Olga Russakovsky,[51] currently an assistant professor in Princeton University, co-founded and co-directed the precursor program at Stanford called SAILORS (Stanford AI Lab OutReach Summers).[52][53] SAILORS was an annual summer camp at Stanford dedicated to 9th grade high school girls in AI education and research, established in 2015 till it changed its name to AI4ALL @Stanford in 2017.[53] In 2018, AI4ALL has successfully launched five more summer programs in addition to Stanford, including Princeton University,[54] Carnegie Mellon University,[55] Boston University,[56] University of California Berkeley,[57] and Canada's Simon Fraser University.[58]

We are at a turning point. AI’s influence continues to grow, but representation and inclusion of a diversity of researchers in the field does not. It’s critical that we seize this moment to create structures that will support long-term, positive changes. This won’t happen via a single mechanism or quick fix. It starts with early education and extends to the existing structures of power within academia, work cultures among current AI researchers, and gatekeeping functions of research publishing, to name a few levers of change.

— Fei-Fei Li and Tess Posner, Nature[59]

Li has been described as a "researcher bringing humanity to AI."[60]

Li was elected as a member of the American Academy of Arts and Sciences in 2021,[61] the National Academy of Engineering in 2020,[62] and the National Academy of Medicine in 2020.[63]

Research

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Li works on artificial intelligence, machine learning, computer vision, cognitive neuroscience, and computational neuroscience. She has published more than 300 peer-reviewed research papers.[1] Her work appears in computer science and neuroscience journals including Nature,[64] Proceedings of the National Academy of Sciences,[65] Journal of Neuroscience,[66] Conference on Computer Vision and Pattern Recognition, International Conference on Computer Vision, Conference on Neural Information Processing Systems, European Conference on Computer Vision, International Journal of Computer Vision, and IEEE Transactions on Pattern Analysis and Machine Intelligence.[67] Among her best-known work is the ImageNet project, which has revolutionized the field of large-scale visual recognition.[3][68][69][70][71]

Li has led the team of students and collaborators to organize the international competition on ImageNet recognition tasks called ImageNet Large-Scale Visual Recognition Challenge (ILSVRC) between 2010 and 2017 in the academic community.[72]

Li's research in computer vision contributed to a line of work called Natural Scene Understanding, or later, story-telling of images.[73] She was recognized for her work in this area by the International Association for Pattern Recognition in 2016.[74] She delivered a talk on the main stage of TED in Vancouver in 2015, and has since then been viewed more than 2 million times.[74]

In recent years, Fei-Fei Li's research work expanded to artificial intelligence in healthcare, collaborating closely with Stanford University School of Medicine professor Arnold Milstein.[75] She has also worked on improving bias in image recognition, for instance by removing concepts with low imageability from ImageNet.[76]

Teaching

[edit]

She teaches the Stanford course CS231n on "Deep Learning for Computer Vision,"[77] whose 2015 version was previously online at Coursera.[78] She has also taught CS131, an introductory class on computer vision.[79]

Board roles

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In May 2020, Li joined the board of directors of Twitter as an independent director.[80] On October 27, 2022, following Elon Musk’s purchase of the company, Li and eight others were removed from Twitter's nine-member board of directors, leaving Elon as the sole director.[81][82]

On 3 August 2023, Li Fei Fei was announced as a member of the United Nations (UN) Scientific Advisory Board, established by Secretary-General António Guterres. She is among seven external scientists on this board, which also includes the Chief Scientists from various UN agencies, the UN University Rector, and the Secretary-General’s Envoy on Technology. The board's primary aim is to offer independent perspectives on emerging trends that intersect science, technology, ethics, governance, and sustainable development. It is designed to act as a central hub for a network of scientific networks, enhancing the integration of scientific insights into UN decision-making processes.[22][83]

Selected honors and awards

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Personal life

[edit]

Li is married to Stanford professor Silvio Savarese. They have a son and a daughter.[5][104]

Publications

[edit]

Books

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  • Ford, Martin (2018). "Fei-Fei Li". Architects of Intelligence: The Truth About AI from the People Building it. Birmingham, UK: Packt Publishing. pp. 145–162. ISBN 978-1-78913-126-0. OCLC 1083340727. Interview of Li by Ford.[105]
  • Li, Fei Fei (2023). The Worlds I See: Curiosity, Exploration, and Discovery at ahe Dawn Of Ai. New York, NY: Moment of Lift Books, Flatiron Books. ISBN 978-1-250-89794-7. OCLC 1404458360.[106][107]

Selected articles

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References

[edit]
  1. ^ a b Fei-Fei Li publications indexed by Google Scholar Edit this at Wikidata
  2. ^ Karpathy, Andrej (2016). Connecting Images and Natural Language. stanford.edu (PhD thesis). Stanford University.
  3. ^ a b Markoff, John (November 19, 2012). "Seeking a Better Way to Find Web Images". The New York Times. Dr. Li, 36
  4. ^ Gershgorn, Dave (July 26, 2017). "Investment in the Technology".
  5. ^ a b c d e Hempel, Jessi (November 13, 2018). "Fei-Fei Li's Quest To Make Ai Better For Humanity". Wired. Retrieved December 5, 2018.
  6. ^ "ImageNet: Where Have We Gone? Where Are We Going? with Fei-Fei Li". learning.acm.org. Retrieved January 10, 2023.[permanent dead link]
  7. ^ Jaton, Florian (2020). The constitution of algorithms : ground-truthing, programming, formulating. Geoffrey C. Bowker. Cambridge, Massachusetts. p. 272. ISBN 978-0-262-36323-5. OCLC 1202407378.{{cite book}}: CS1 maint: location missing publisher (link)
  8. ^ "Profiles: Fei-Fei Li". Stanford University.
  9. ^ "Leadership".
  10. ^ "Stanford Vision and Learning Lab (SVL)".
  11. ^ "Home". Stanford Artificial Intelligence Laboratory.
  12. ^ Fei-Fei Li at TED Edit this at Wikidata
  13. ^ Appearances on C-SPAN
  14. ^ "Melinda Gates and Fei-Fei Li Want to Liberate AI from "Guys With Hoodies"". WIRED. Retrieved April 16, 2018.
  15. ^ "AI4ALL - Official Website". ai-4-all.org. Retrieved April 16, 2018.
  16. ^ "Fei-Fei Li Ph.D. - Professor, Stanford University".
  17. ^ a b "TIME100 AI 2023: Fei-Fei Li". Time. September 7, 2023. Retrieved November 10, 2023.
  18. ^ a b "Intel Innovation 2023". Intel. Retrieved November 10, 2023.
  19. ^ a b "Member". National Academy of Engineering. Retrieved April 24, 2021.
  20. ^ a b "Member". National Academy of Medicine. November 18, 2019. Retrieved April 24, 2021.
  21. ^ a b "New Members". American Academy of Arts & Sciences. Retrieved April 24, 2021.
  22. ^ a b "UN Secretary-General Creates Scientific Advisory Board for Independent Advice on Breakthroughs in Science and Technology | Meetings Coverage and Press Releases". press.un.org. Retrieved April 23, 2024.
  23. ^ "HAI Co-Director Fei-Fei Li Joins UN Secretary-General's Scientific Advisory Board". hai.stanford.edu. August 3, 2023. Retrieved April 23, 2024.
  24. ^ Thompson, Jack Dunn,Selena Kuznikov,Jazz Tangcay,Jaden; Dunn, Jack; Kuznikov, Selena; Tangcay, Jazz; Thompson, Jaden (May 1, 2024). "Keanu Reeves, Jung Kook, Hayao Miyazaki Among Gold House's A100 Honorees". Variety. Retrieved May 21, 2024.{{cite web}}: CS1 maint: multiple names: authors list (link)
  25. ^ "Li Fei-Fei: Biography; Vision; Princeton". Computer Science Department, Stanford University. Retrieved June 11, 2024.
  26. ^ a b c "创企涌现、估值暴涨,AI创业大潮正起 - 科技 - 南方财经网". www.sfccn.com. Retrieved October 20, 2024.
  27. ^ "Press release" (PDF). phs.pthsd.k12.nj.us.
  28. ^ "Parsippany High School to induct members to hall of fame". January 29, 2017.
  29. ^ a b "Fei-Fei Li's Profile". Stanford Profiles. Retrieved October 19, 2024.
  30. ^ Li, Fei Fei (1999). "Auditory Binaural Correlogram Difference: A New Computational Model for Huggins Dichotic Pitch".
  31. ^ Blanco, Octavio (July 21, 2016). "One immigrant's path from cleaning houses to Stanford professor". CNNMoney. Retrieved October 20, 2024.
  32. ^ "Meet the Fellows | Fei-Fei Li". www.pdsoros.org.
  33. ^ "Fei-Fei Li's Curriculum Vitae | Stanford Profiles". profiles.stanford.edu. Retrieved December 27, 2018.
  34. ^ "Human-Centered AI". hai.stanford.edu. Archived from the original on December 21, 2018. Retrieved December 27, 2018.
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  36. ^ "Google Cloud Next '17 data, analytics and machine learning session video now online". Google Cloud Blog. Retrieved December 27, 2018.
  37. ^ "Cloud AutoML: Making AI accessible to every business". Google Cloud Blog. Retrieved December 27, 2018.
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  39. ^ "A U.S. Secret Weapon in A.I.: Chinese Talent". The New York Times. June 9, 2020. The Google team worked to build technology that could automatically identify vehicles, buildings and other objects in video footage captured by drones
  40. ^ a b Conger, Kate (June 1, 2018). "Google Plans Not to Renew Its Contract for Project Maven, a Controversial Pentagon Drone AI Imaging Program". Gizmodo. Retrieved March 18, 2021. Google secured the Project Maven contract in late September, the emails reveal, after competing for months against several other "AI heavyweights" for the work...One of the terms of Google's contract with the Defense Department was that Google's involvement not be mentioned without the company's permission, the emails state.
  41. ^ Shane, Scott; Wakabayashi, Daisuke (April 4, 2018). "'The Business of War': Google Employees Protest Work for the Pentagon". New York Times. Retrieved March 18, 2021. Thousands of Google employees, including dozens of senior engineers, have signed a letter protesting the company's involvement in a Pentagon program that uses artificial intelligence to interpret video imagery and could be used to improve the targeting of drone strikes.
  42. ^ Shane, Scott (May 30, 2018). "How a Pentagon Contract Became an Identity Crisis for Google". New York Times. Retrieved March 13, 2021. Asked about her September email, Dr. Li issued a statement: 'I believe in human-centered AI to benefit people in positive and benevolent ways. It is deeply against my principles to work on any project that I think is to weaponize AI.'
  43. ^ "Google Cloud AI: Andrew Moore joining Google Cloud; Fei-Fei Li becoming advisor". Google Cloud Blog. Retrieved December 27, 2018.
  44. ^ Hempel, Jessi (May 4, 2017). "Melinda Gates and Fei-Fei Li Want to Liberate AI from "Guys With Hoodies"". Wired. ISSN 1059-1028. Retrieved December 27, 2018.
  45. ^ "Artificial intelligence has a racial bias problem. Google is funding summer camps to try to change that". USA TODAY. Retrieved December 27, 2018.
  46. ^ "AI4All, created by Google Cloud's Fei-Fei Li, is pairing tech workers and high school students on AI projects". VentureBeat. February 3, 2018. Retrieved December 27, 2018.
  47. ^ Herold, Benjamin (September 27, 2017). "Preparing Students for Tomorrow's Jobs: 10 Experts Offer Advice to Educators - Education Week". Education Week. Retrieved December 27, 2018.
  48. ^ Walravens, Samantha. "Why We Need More Women Taking Part In The AI Revolution". Forbes. Retrieved November 10, 2023.
  49. ^ Johnson, Khari (May 17, 2017). "Google unveils second-generation TPU chips to accelerate machine learning". Venture Beat. Retrieved March 30, 2021. Earlier this month, Li joined Melinda Gates and NVIDIA CEO Jensen Huang to create AI4All, an organization dedicated to encouraging AI adoption among communities underrepresented in AI.
  50. ^ Castellanos, Sara (August 10, 2020). "The Changes AI Will Bring". Wall Street Journal. ISSN 0099-9660. Retrieved January 19, 2022.
  51. ^ "Olga Russakovsky". www.cs.princeton.edu. Retrieved December 27, 2018.
  52. ^ Alba, Davey (August 31, 2015). "This Girls' Summer Camp Could Help Change the World of AI". Wired. ISSN 1059-1028. Retrieved December 27, 2018.
  53. ^ a b "Welcome to Stanford AI4ALL | Stanford AI4ALL". ai4all.stanford.edu. Archived from the original on December 2, 2019. Retrieved December 27, 2018.
  54. ^ "AI will change the world. Who will change AI? | Princeton AI4ALL". ai4all.princeton.edu. Retrieved December 27, 2018.
  55. ^ "Pre-College Artificial Intelligence | Carnegie Mellon". admission.enrollment.cmu.edu. Archived from the original on March 20, 2019. Retrieved December 27, 2018.
  56. ^ "AI4ALL". www.bu.edu. Retrieved December 27, 2018.
  57. ^ "home". bair.berkeley.edu. Archived from the original on August 24, 2018. Retrieved December 27, 2018.
  58. ^ "Invent the Future - Simon Fraser University". www.sfu.ca. Retrieved December 27, 2018.
  59. ^ Posner, Tess; Fei-Fei, Li (December 9, 2020). "AI will change the world, so it's time to change AI". Nature. 588 (7837): S118. Bibcode:2020Natur.588S.118P. doi:10.1038/d41586-020-03412-z. S2CID 228087170.
  60. ^ "An AI Pioneer, and the Researcher Bringing Humanity to AI". WIRED. Retrieved October 25, 2018.
  61. ^ "Ten Stanford faculty members elected to the American Academy of Arts and Sciences". AAAS at Stanford. Retrieved March 9, 2020.
  62. ^ "Three Stanford faculty elected to the National Academy of Engineering | Department of Chemistry". chemistry.stanford.edu. February 10, 2020. Retrieved March 9, 2020.
  63. ^ "Five professors elected to National Academy of Medicine". NAM at Stanford. November 18, 2019. Retrieved March 9, 2020.
  64. ^ Peelen, Marius V.; Fei-Fei, Li; Kastner, Sabine (2002). "Neural mechanisms of rapid natural scene categorization in human visual cortex". Nature. 460 (7251): 94–97. doi:10.1038/nature08103. PMC 2752739. PMID 19506558.
  65. ^ Fei-Fei, Li; VanRullen, Rufin; Koch, Christof; Perona, Pietro (2002). "Rapid natural scene categorization in the near absence of attention". Proceedings of the National Academy of Sciences. 99 (14): 9596–601. Bibcode:2002PNAS...99.9596L. doi:10.1073/pnas.092277599. PMC 123186. PMID 12077298.
  66. ^ Stanley, Garrett B; Fei-Fei, Li; Dan, Yang (1999). "Reconstruction of natural scenes from ensemble responses in the lateral geniculate nucleus". Journal of Neuroscience. 19 (18): 8036–8042. doi:10.1523/JNEUROSCI.19-18-08036.1999. PMC 6782475. PMID 10479703.
  67. ^ "Stanford Computer Vision Lab : Publications". vision.stanford.edu.
  68. ^ Markoff, John (August 18, 2014). "Computer Eyesight Gets a Lot More Accurate". The New York Times.
  69. ^ "imagenet 2014 « Deep Learning". Deeplearning.net. September 19, 2014. Retrieved December 5, 2018.
  70. ^ Deng, Jia; Dong, Wei; Socher, Richard; Li, Li-Jia; Li, Kai; Fei-Fei, Li (2009). "Imagenet: A large-scale hierarchical image database". CVPR.
  71. ^ "ImageNet". image-net.org.
  72. ^ Russakovsky, Olga; Deng, Jia; Su, Hao; Krause, Jonathan; Satheesh, Sanjeev; Ma, Sean; Huang, Zhiheng; Karpathy, Andrej; Khosla, Aditya; Bernstein, Michael; Berg, Alexander C.; Fei-Fei, Li (2014). "ImageNet Large Scale Visual Recognition Challenge". arXiv:1409.0575 [cs.CV].
  73. ^ Markoff, John (November 17, 2014). "Researchers Announce Advance in Image-Recognition Software". The New York Times. ISSN 0362-4331. Retrieved December 27, 2018.
  74. ^ a b c "IAPR - IAPR Awards". www.iapr.org. Retrieved December 27, 2018.
  75. ^ "Arnold Milstein's Profile | Stanford Profiles". profiles.stanford.edu. Retrieved December 27, 2018.
  76. ^ Yang, Kaiyu; Qinami, Klint; Fei-Fei, Li; Deng, Jia; Russakovsky, Olga (January 27, 2020). "Towards fairer datasets: Filtering and balancing the distribution of the people subtree in the ImageNet hierarchy". Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency. FAT* '20. New York, NY, USA: Association for Computing Machinery. pp. 547–558. doi:10.1145/3351095.3375709. ISBN 978-1-4503-6936-7.
  77. ^ "Stanford University CS231n: Convolutional Neural Networks for Visual Recognition". cs231n.stanford.edu. Retrieved April 16, 2021.
  78. ^ "Machine learning courses online - FastML". fastml.com. Retrieved April 17, 2019.
  79. ^ "Stanford University CS 131 Computer Vision: Foundations and Applications". vision.stanford.edu.
  80. ^ "Twitter adds former Google VP and A.I. guru Fei-Fei Li to board as it seeks to play catch up with Google and Facebook". cnbc.com. May 12, 2020. Retrieved May 12, 2020.
  81. ^ "Elon Musk, who runs four other companies, will now be Twitter CEO". Reuters. October 31, 2022. 'The following persons, who were directors of Twitter prior to the effective time of the merger, are no longer directors of Twitter: Bret Taylor, Parag Agrawal, Omid Kordestani, David Rosenblatt, Martha Lane Fox, Patrick Pichette, Egon Durban, Fei-Fei Li and Mimi Alemayehou,' Musk said in the filing.
  82. ^ "Elon Musk Ousts Twitter Board, Named Sole Director". The Wall Street Journal. October 31, 2022. Retrieved November 7, 2022. The board that oversaw Twitter Inc. during its tumultuous sale to Elon Musk has been dissolved, with the Tesla Inc. chief now serving as the social-media company's sole director.
  83. ^ "Home | Secretary-General's Scientific Advisory Board". www.un.org. Retrieved April 23, 2024.
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Further reading

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