AI FOR SCIENCE · ON THE RECORD
University of Washington
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Research on the record
- 2026-10-29EVENET, a model pretrained on 500 million simulated LHC collisions, finds the known Upsilon meson in real CMS data at 7.6 sigma, above the 6.4 sigma of the published methodLevel 2 · Computed
- 2026-10-26A designed protein scaffold binds a metal photocatalyst, and five evolved mutations turn it into an enantioselective enzyme reaching 50,000 turnoversLevel 4 · Tested in the physical world
- 2026-10-21A single protein-design model from Baker's lab and NVIDIA beats the best specialist tools on four design tasks, and its designs were made and measured in the labLevel 4 · Tested in the physical world
- 2026-10-14Designed from scratch, 13 of 69 cysteine proteases cut the peptide backbone where told, and designs cut their targets in cellsLevel 4 · Tested in the physical world
- 2026-10-14Zinc proteases designed with RFdiffusion cut chosen peptide bonds, and some cut TDP-43 and amyloid-betaLevel 4 · Tested in the physical world
- 2026-10-09Prompteina designs all-atom protein structures from written prompts, and nine of its GM2A designs bind in the lab, the strongest at 107 nMLevel 4 · Tested in the physical world
- 2026-10-02Baker lab designs two working enzymes with complex active sites, one with a 2.7 Å crystal structureLevel 4 · Tested in the physical world
- 2026-09-23Research agents game their own scoring unprompted, and learn to hide it once told how they were caughtLevel 2 · Computed
- 2026-08-20The Baker lab's SAPP and DMX turn protein-design testing into a 48-hour batchLevel 4 · Tested in the physical world
- 2023-07-11RFdiffusion turns protein structure prediction into protein designLevel 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
- 2026-10-19Sheng Wang: frontier models can write the biomedical code, but design only about 30% of an experimentInterviewSheng Wang · Silicon Valley 101
- 2026-10-15De novo cysteine proteases: 13 of 69 cut, and they cut inside living cellsBrief
- 2026-10-15Designed zinc proteases: 135 designs in one shot, 36% cut at the bond they were told toBrief
- 2026-08-21SAPP + DMX (Baker Lab): AI Can Design Thousands of Proteins. How Does the Lab Keep Up?Brief
- 2026-10-19AI for Science: six lessons from 60 papersCommentaryJorge Bravo-Abad · Discovery at Scale
- 2026-07-17Picking the Right Challenges for Genesis MissionCommentaryDan Turner-Evans · Institute for Progress
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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
- SSteven BruntonBoeing Professor in AI & Data-Driven Engineering, Mechanical Engineering Three mathematicians read OpenAI's 722 manuscripts: the quasi-Riemann proof chains known tools, and fluid engineering has not changed
- SSheng WangAssistant Professor, Paul G. Allen School of Computer Science & Engineering Sheng Wang: frontier models can write the biomedical code, but design only about 30% of an experiment
- JJoseph LeeAuthor affiliation on a 2026 preprint (project lead, co-first author) Prompteina designs all-atom protein structures from written prompts, and nine of its GM2A designs bind in the lab, the strongest at 107 nM
Pang Wei KohAssistant Professor, Paul G. Allen School of Computer Science & Engineering Prompteina designs all-atom protein structures from written prompts, and nine of its GM2A designs bind in the lab, the strongest at 107 nM
William Stafford NobleProfessor, Genome Sciences and Computer Science and Engineering Response to ‘The Perpetual Motion Machine of AI-Generated Data…’
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.