Pushmeet Kohli

Last updated

Pushmeet Kohli
Alma mater Trinity Hall
University of Cambridge
National Institute of Technology, Warangal
Oxford Brookes University (PhD)
Scientific career
Fields Machine learning
Artificial intelligence
Computer vision [1]
Institutions Google
DeepMind
Thesis Minimizing dynamic and higher order energy functions using graph cuts  (2007)
Doctoral advisor Philip Torr [2]
Website research.google/people/105667 OOjs UI icon edit-ltr-progressive.svg

Pushmeet Kohli is a computer scientist at Google DeepMind where he holds the position of Vice President of research for the "Secure and Reliable AI" and "AI for Science and Sustainability". [3] Before joining DeepMind, he was partner scientist and director of research at Microsoft Research and a post-doctoral fellow at the University of Cambridge. Kohli's research investigates applications of machine learning and computer vision. [1] [4] He has also made contributions in game theory, discrete algorithms and psychometrics. [5]

Contents

Education

Kohli was educated at National Institute of Technology, Warangal [ citation needed ] and Oxford Brookes University where his PhD awarded in 2007 [6] was supervised by Philip Torr  []. [2] He was a Postdoctoral associate at Trinity Hall, University of Cambridge. [7]

Career and research

Current and previous research projects include:

Other AI for Science projects include

Awards and honours

Kohli was listed by Time magazine as one of the 100 most influential people in AI. [24]

The impact of AlphaFold has seen it result its leads, Demis Hassabis and John Jumper, being awarded by numerous prizes including the prestigious Breakthrough prize, Lasker award, and Wolfe prize.

Pushmeet's research in computer vision and machine learning has been recognized by a number of scientific awards and prizes. Some notable ones include:

Related Research Articles

<span class="mw-page-title-main">Structural biology</span> Study of molecular structures in biology

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<span class="mw-page-title-main">Demis Hassabis</span> British entrepreneur and artificial intelligence researcher (born 1976)

Demis Hassabis is a British computer scientist, artificial intelligence researcher and entrepreneur. In his early career he was a video game AI programmer and designer, and an expert board games player. He is the chief executive officer and co-founder of DeepMind and Isomorphic Labs, and a UK Government AI Advisor. He is a Fellow of the Royal Society, and has won many prestigious awards for his work on AlphaFold including the Breakthrough Prize, the Canada Gairdner International Award, and the Lasker Award. In 2017 he was appointed a CBE and listed in the Time 100 most influential people list.

Philip St. John Russell, FRS, is Emeritus Director of the Max Planck Institute for the Science of Light in Erlangen, Germany. His area of research covers "photonics and new materials", in particular the examination of new optical materials, especially of photonic crystal fibres, and more generally the field of nano- and micro-structured photonic materials.

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Heung-Yeung "Harry" Shum is a Chinese computer scientist. He was a doctoral student of Raj Reddy. He was the Executive Vice President of Artificial Intelligence & Research at Microsoft. He is known for his research on computer vision and computer graphics, and for the development of the search engine Bing.

The International Conference on Computer Vision (ICCV) is a research conference sponsored by the Institute of Electrical and Electronics Engineers (IEEE) held every other year. It is considered to be one of the top conferences in computer vision, alongside CVPR and ECCV, and it is held on years in which ECCV is not.

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<span class="mw-page-title-main">Google DeepMind</span> Artificial intelligence division

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<span class="mw-page-title-main">Fei-Fei Li</span> Chinese American computer scientist (born 1976)

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David Silver is a principal research scientist at Google DeepMind and a professor at University College London. He has led research on reinforcement learning with AlphaGo, AlphaZero and co-lead on AlphaStar.

Andrew Fitzgibbon FREng is an Irish researcher in computer vision. Since 2022, he has worked at Graphcore.

AlphaFold is an artificial intelligence (AI) program developed by DeepMind, a subsidiary of Alphabet, which performs predictions of protein structure. The program is designed as a deep learning system.

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John Michael Jumper is an American senior research scientist at DeepMind Technologies. Jumper and his colleagues created AlphaFold, an artificial intelligence (AI) model to predict protein structures from their amino acid sequence with high accuracy. Jumper has stated that the AlphaFold team plans to release 100 million protein structures. The scientific journal Nature included Jumper as one of the ten "people who mattered" in science in their annual listing of Nature's 10 in 2021.

<span class="mw-page-title-main">Elham Tabassi</span>

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<span class="mw-page-title-main">Sam Stranks</span> Professor of Optoelectronics

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References

  1. 1 2 Pushmeet Kohli publications indexed by Google Scholar OOjs UI icon edit-ltr-progressive.svg
  2. 1 2 Pushmeet Kohli at the Mathematics Genealogy Project OOjs UI icon edit-ltr-progressive.svg
  3. "TIME100 AI 2023: Pushmeet Kohli". Time. 7 September 2023. Retrieved 11 November 2023.
  4. Pushmeet Kohli at DBLP Bibliography Server OOjs UI icon edit-ltr-progressive.svg
  5. Parmy Olson (12 October 2011). "Microsoft Uses Facebook As Giant 'Lab' To Study Game Theory". Forbes .
  6. Kohli, Pushmeet (2007). Minimizing dynamic and higher order energy functions using graph cuts (PhD thesis). Oxford Brookes University. OCLC   1043101069. EThOS   uk.bl.ethos.444300.
  7. IEEE. "Pushmeet Kohli - IEEE author profile". ieeexplore.ieee.org. Retrieved 12 November 2023.
  8. John Jumper; Richard Evans; Alexander Pritzel; et al. (15 July 2021). "Highly accurate protein structure prediction with AlphaFold". Nature . Bibcode:2021Natur.596..583J. doi:10.1038/S41586-021-03819-2. ISSN   1476-4687. PMC   8371605 . Wikidata   Q107555821.
  9. "TIME100 AI 2023: Pushmeet Kohli". Time. 7 September 2023. Retrieved 11 November 2023.
  10. "Google DeepMind has launched a watermarking tool for AI-generated images". MIT Technology Review. Retrieved 11 November 2023.
  11. Cheng, Jun; Novati, Guido; Pan, Joshua; Bycroft, Clare; Žemgulytė, Akvilė; Applebaum, Taylor; Pritzel, Alexander; Wong, Lai Hong; Zielinski, Michal; Sargeant, Tobias; Schneider, Rosalia G.; Senior, Andrew W.; Jumper, John; Hassabis, Demis; Kohli, Pushmeet (22 September 2023). "Accurate proteome-wide missense variant effect prediction with AlphaMissense". Science. 381 (6664): eadg7492. doi: 10.1126/science.adg7492 . ISSN   0036-8075. PMID   37733863. S2CID   262084527.
  12. "Google DeepMind AI speeds up search for disease genes". BBC News. 19 September 2023. Retrieved 11 November 2023.
  13. Li, Yujia; Choi, David; Chung, Junyoung; Kushman, Nate; Schrittwieser, Julian; Leblond, Rémi; Eccles, Tom; Keeling, James; Gimeno, Felix; Dal Lago, Agustin; Hubert, Thomas; Choy, Peter; de Masson d’Autume, Cyprien; Babuschkin, Igor; Chen, Xinyun (9 December 2022). "Competition-level code generation with AlphaCode". Science. 378 (6624): 1092–1097. arXiv: 2203.07814 . Bibcode:2022Sci...378.1092L. doi:10.1126/science.abq1158. ISSN   0036-8075. PMID   36480631. S2CID   246527904.
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  19. Kosinski, Michal; Stillwell, David; Kohli, Pushmeet; Bachrach, Yoram; Graepel, Thore (January 2012). "Personality and Website Choice". ACM Web Sciences.
  20. "Human Pose Estimation for Kinect".
  21. "Unwrap Mosaics". microsoft.com. Microsoft.
  22. Degrave, Jonas; Felici, Federico; Buchli, Jonas; Neunert, Michael; Tracey, Brendan; Carpanese, Francesco; Ewalds, Timo; Hafner, Roland; Abdolmaleki, Abbas; de las Casas, Diego; Donner, Craig; Fritz, Leslie; Galperti, Cristian; Huber, Andrea; Keeling, James (February 2022). "Magnetic control of tokamak plasmas through deep reinforcement learning". Nature. 602 (7897): 414–419. Bibcode:2022Natur.602..414D. doi: 10.1038/s41586-021-04301-9 . ISSN   1476-4687. PMC   8850200 . PMID   35173339.
  23. Kirkpatrick, James; McMorrow, Brendan; Turban, David H. P.; Gaunt, Alexander L.; Spencer, James S.; Matthews, Alexander G. D. G.; Obika, Annette; Thiry, Louis; Fortunato, Meire; Pfau, David; Castellanos, Lara Román; Petersen, Stig; Nelson, Alexander W. R.; Kohli, Pushmeet; Mori-Sánchez, Paula (10 December 2021). "Pushing the frontiers of density functionals by solving the fractional electron problem". Science. 374 (6573): 1385–1389. Bibcode:2021Sci...374.1385K. doi:10.1126/science.abj6511. ISSN   0036-8075. PMID   34882476. S2CID   245012496.
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