AI FOR SCIENCE · ON THE RECORD
UC Berkeley
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Research on the record
- 2026-10-29With analysis steps written by the researchers, 11 AI models processed a catalysis dataset that none finished without them, and the experiments they proposed were runLevel 4 · Tested in the physical world
- 2026-10-29With analysis steps written by the researchers, 11 AI models processed a catalysis dataset that none finished without them, and the experiments they proposed were runLevel 4 · Tested in the physical world
- 2026-10-14A year of blind methane releases tests 12 satellites and 15 analysis teams: instruments built for methane catch 92-100% of releases, and AI methods produce 79% of the false alarmsLevel 4 · Tested in the physical world
- 2026-10-13Nine agents write 135 follow-up papers to order for national-lab scientists; a judge finds 114 of them fail an integrity checkLevel 2 · Computed
- 2026-09-24A-Lab's cost-guided framework finds two fast NASICON solid electrolytes in 78 autonomous synthesis trialsLevel 4 · Tested in the physical world
- 2026-09-24A-Lab's cost-guided framework finds two fast NASICON solid electrolytes in 78 autonomous synthesis trialsLevel 4 · Tested in the physical world
- 2026-09-09Berkeley's GPN-Star reads human DNA beside the same stretch in other species, and beats far larger genome models at flagging disease variants, in NatureLevel 2 · Computed
- 2026-01-19Nature corrects the A-Lab paper: "novel" meant new to its prediction platform, and 36 of 40 reported syntheses are confirmedLevel 4 · Tested in the physical world
- 2026-01-19Nature corrects the A-Lab paper: "novel" meant new to its prediction platform, and 36 of 40 reported syntheses are confirmedLevel 4 · Tested in the physical world
- 2024-06-25EvolutionaryScale's ESM3 protein model writes a green fluorescent protein only 58% identical to any known one, and in the lab it glows about as brightly as natural GFPLevel 4 · Tested in the physical world
- 2023-11-29A-Lab closes a materials synthesis loopLevel 4 · Tested in the physical world
- 2023-11-29A-Lab closes a materials synthesis loopLevel 4 · Tested in the physical world
Graded by how far the evidence went, not how good the result is. See the methodology.
Read on AI4S.fyi
- 2026-09-26CASS and the A-Lab: 78 autonomous syntheses steer NASICON phase purity by XRD, with conductivity in the loop only as a proxy domainBrief
- 2026-08-20Genesis Mission Portfolio II: From Autonomous Labs to Scientific InfrastructureBrief
- 2026-10-14Who proves that a scientific discovery made by AI is right?CommentaryTong Xie, Hongliang Zhang, Feng Bao and Shuyi Zhang · DeepTech, via Sina Tech
- 2026-09-18AI Goes Deep Ep. 2: Materials AI Has a Reality ProblemCommentaryAndrey Ivankin · FedTech · AI Goes Deep
- 2026-07-31The past, present and future of self-driving laboratoriesCommentaryRichard B. Canty and Milad Abolhasani · Nature Reviews Chemistry
- 2026-07-17Picking the Right Challenges for Genesis MissionCommentaryDan Turner-Evans · Institute for Progress
- 2026-07-13Toward Trustworthy Autonomous Science: A Two-Year Community RoadmapCommentaryRafael Ferreira da Silva and 27 co-authors · arXiv 2607.12113
- 2026-05-21AI & the Discovery of Molecules through Autonomous LaboratoriesCommentaryConnor Coley · Dædalus
2 more
- 2026-03-23Designing AI for Disruptive ScienceCommentaryAlvin Djajadikerta · Asimov Press
- 2024-03-07Challenges in High-Throughput Inorganic Materials Prediction and Autonomous SynthesisCommentaryJosh Leeman, Leslie Schoop, Robert Palgrave et al. · PRX Energy
Also on the timeline
People
Only people the AI4S.fyi record has named: in a round, a timeline entry, commentary, an interview or a sourced role. Not the full team.
Named on AI4S.fyi
Ruixiang ZhangNow: Associate Professor, Department of Mathematics · University of California, Berkeley A claimed proof of the local smoothing conjecture in every dimension carries the Kakeya conjecture with it, where the published record had reached three dimensions
Nikhil SrivastavaProfessor of Mathematics AI and TCS: The Next Six Months
Bernardus RendyNow: Author affiliation on a 2026 paper · University of California, Berkeley (Materials Science & Engineering); Lawrence Berkeley National Laboratory A-Lab's cost-guided framework finds two fast NASICON solid electrolytes in 78 autonomous synthesis trials
Prasad RaghavendraProfessor, EECS Theory Beyond Theorems and Proofs: A Guest Post
Yun S. SongProfessor of Computer Science and Statistics; Director, Center for Computational Biology Berkeley's GPN-Star reads human DNA beside the same stretch in other species, and beats far larger genome models at flagging disease variants, in Nature- JJaymin PatelPostdoctoral associate, Doudna Lab, joint with the Cress Lab Anthropic names five winners of its week-long Claude life-sciences hackathon, run with the Gladstone Institutes
Jennifer ListgartenNow: Professor in UC Berkeley's EECS department, Center for Computational Biology, Bioengineering; member of the BAIR steering committee · University of California, Berkeley The Perpetual Motion Machine of AI-Generated Data and the Distraction of ChatGPT as a ‘Scientist’
Previously there
- YYann FleureauNow: Founder · Rivercell Rivercell · Seed · $25M
Gerbrand CederNow: Founder · Radical AI A-Lab's cost-guided framework finds two fast NASICON solid electrolytes in 78 autonomous synthesis trials
Lin-Wang WangNow: Founder · LongXun KuangTeng LongXun KuangTeng · B1 · on the order of 100M yuan
This page compiles what AI4S.fyi has recorded and links each item to its source. It is not a grade of the organization and not its complete history: a blank means the record has not caught up as often as it means nothing happened.