Richard Evans (born 23 October 1969) is an artificial intelligence (AI) research scientist at DeepMind. His research primarily focuses on integrating declarative interpretable logic-based systems with neural networks, as well as formal models of Kant's Critique of Pure Reason.
Richard Evans (born 23 October 1969) is an artificial intelligence (AI) research scientist at DeepMind. His research primarily focuses on integrating declarative interpretable logic-based systems with neural networks, as well as formal models of Kant's Critique of Pure Reason.
Richard Evans (born 23 October 1969) is an artificial intelligence (AI) research scientist at DeepMind. His research primarily focuses on integrating declarative interpretable logic-based systems with neural networks and formal models of Kant's Critique of Pure Reason.
Before joining DeepMind, Evans designed AI for computer games. He co-founded Little Text People with Emily Short, developing real-time multiplayer interactive fiction. Little Text People was acquired by Linden Lab in January 2012. At EA/Maxis, Evans was the AI lead on The Sims 3 and designed and implemented the AI for Black & White, for which he received multiple awards.
Richard Evans
Research Fellow, University of Wolverhampton
N/A
Highly accurate protein structure prediction with AlphaFold J Jumper, R Evans, A Pritzel, T Green, M Figurnov, O Ronneberger, … nature 596 (7873), 583-589, 2021 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=WRoUcygAAAAJ&citationforview=WRoUcygAAAAJ:5icHVeHT4IsC
Improved protein structure prediction using potentials from deep learning AW Senior, R Evans, J Jumper, J Kirkpatrick, L Sifre, T Green, C Qin, … Nature 577 (7792), 706-710, 2020 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=WRoUcygAAAAJ&citationforview=WRoUcygAAAAJ:rmuvC79q63oC
Highly accurate protein structure prediction for the human proteome K Tunyasuvunakool, J Adler, Z Wu, T Green, M Zielinski, A Žídek, … Nature 596 (7873), 590-596, 2021 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=WRoUcygAAAAJ&citationforview=WRoUcygAAAAJ:gKiMpY-AVTkC
Protein complex prediction with AlphaFold-Multimer R Evans, M O’Neill, A Pritzel, N Antropova, A Senior, T Green, A Žídek, … biorxiv, 2021.10. 04.463034, 2021 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=WRoUcygAAAAJ&citationforview=WRoUcygAAAAJ:AHdEip9mkN0C
Deep reinforcement learning in large discrete action spaces G Dulac-Arnold, R Evans, H van Hasselt, P Sunehag, T Lillicrap, J Hunt, … arXiv preprint arXiv:1512.07679, 2015 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=WRoUcygAAAAJ&citationforview=WRoUcygAAAAJ:Ehil0879vHcC
The UK‐PBC risk scores: derivation and validation of a scoring system for long‐term prediction of end‐stage liver disease in primary biliary cholangitis M Carbone, SJ Sharp, S Flack, D Paximadas, K Spiess, C Adgey, … Hepatology 63 (3), 930-950, 2016 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=WRoUcygAAAAJ&citationforview=WRoUcygAAAAJ:M7yex6snE4oC
Software agents: A review S Green, L Hurst, B Nangle, P Cunningham, F Somers, R Evans Department of Computer Science, Trinity College Dublin, Tech. Rep. TCS-CS …, 1997 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=WRoUcygAAAAJ&citationforview=WRoUcygAAAAJ:bEWYMUwI8FkC
Results of the National Institute of Allergy and Infectious Diseases Collaborative Clinical Trial to test the predictive value of skin testing with major and minor penicillin … DD Sogn, R Evans, GM Shepherd, TB Casale, J Condemi, … Archives of internal medicine 152 (5), 1025-1032, 1992 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=WRoUcygAAAAJ&citationforview=WRoUcygAAAAJ:5ugPr518TE4C
Protein structure prediction using multiple deep neural networks in the 13th Critical Assessment of Protein Structure Prediction (CASP13) AW Senior, R Evans, J Jumper, J Kirkpatrick, L Sifre, T Green, C Qin, … Proteins: structure, function, and bioinformatics 87 (12), 1141-1148, 2019 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=WRoUcygAAAAJ&citationforview=WRoUcygAAAAJ:5qfkUJPXOUwC
International genome-wide meta-analysis identifies new primary biliary cirrhosis risk loci and targetable pathogenic pathways HJ Cordell, Y Han, GF Mells, Y Li, GM Hirschfield, CS Greene, G Xie, … Nature communications 6 (1), 8019, 2015 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=WRoUcygAAAAJ&citationforview=WRoUcygAAAAJ:kz9GbA2Ns4gC
Applying and improving AlphaFold at CASP14 J Jumper, R Evans, A Pritzel, T Green, M Figurnov, O Ronneberger, … Proteins: Structure, Function, and Bioinformatics 89 (12), 1711-1721, 2021 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=WRoUcygAAAAJ&citationforview=WRoUcygAAAAJ:F1b5ZUV5XREC
Map of bird sensitivities to wind farms in Scotland: a tool to aid planning and conservation J Bright, R Langston, R Bullman, R Evans, S Gardner, J Pearce-Higgins Biological Conservation 141 (9), 2342-2356, 2008 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=WRoUcygAAAAJ&citationforview=WRoUcygAAAAJ:Mojj43d5GZwC
Accurate structure prediction of biomolecular interactions with AlphaFold 3 J Abramson, J Adler, J Dunger, R Evans, T Green, A Pritzel, … Nature, 1-3, 2024 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=WRoUcygAAAAJ&citationforview=WRoUcygAAAAJ:hsZV8lGYWTMC
Deepmind ai reduces google data centre cooling bill by 40% R Evans, J Gao DeepMind blog 20, 158, 2016 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=WRoUcygAAAAJ&citationforview=WRoUcygAAAAJ:U4n9YNQMCAIC
A new, fully automatic version of Mitkov’s knowledge-poor pronoun resolution method R Mitkov, R Evans, C Orasan Computational Linguistics and Intelligent Text Processing: Third …, 2002 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=WRoUcygAAAAJ&citationforview=WRoUcygAAAAJ:u-x6o8ySG0sC
Highly accurate protein structure prediction with AlphaFold., 2021, 596 J Jumper, R Evans, A Pritzel, T Green, M Figurnov, O Ronneberger, … DOI: https://doi. org/10.1038/s41586-021-03819-2, 583-589, 0 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=WRoUcygAAAAJ&citationforview=WRoUcygAAAAJ:L1USKYWJimsC
Co-writing screenplays and theatre scripts with language models: Evaluation by industry professionals P Mirowski, KW Mathewson, J Pittman, R Evans Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems …, 2023 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=WRoUcygAAAAJ&citationforview=WRoUcygAAAAJ:6bLC7aUMtPcC
High accuracy protein structure prediction using deep learning J Jumper, R Evans, A Pritzel, T Green, M Figurnov, K Tunyasuvunakool, … Fourteenth critical assessment of techniques for protein structure …, 2020 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=WRoUcygAAAAJ&citationforview=WRoUcygAAAAJ:OP4eGU-M3BUC
De novo structure prediction with deeplearning based scoring R Evans, J Jumper, J Kirkpatrick, L Sifre, T Green, C Qin, A Zidek, … Annu Rev Biochem 77 (363-382), 6, 2018 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=WRoUcygAAAAJ&citationforview=WRoUcygAAAAJ:86PQX7AUzd4C
Applying machine learning toward an automatic classification of it R Evans Literary and linguistic computing 16 (1), 45-58, 2001 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=WRoUcygAAAAJ&citationforview=WRoUcygAAAAJ:KlAtU1dfN6UC