The evidence so far
DISCOVERYA five-year pledge could give U.S. researchers stronger tools to test ideas in medicine, energy, materials, and quantum computing. Access and experimental results will determine its impact.
Source published 2026-10-08 · EmergingDISCOVERYNew company commitments and federal research awards promise practical help for research teams. The next test is what scientists can actually do with it.
Source published 2026-10-08 · EmergingDISCOVERYInitially 722 manuscripts across 17 research areas; OpenAI’s current catalogue lists 721 manuscripts in 373 families after three October 7 withdrawals and two October 26 additions.
Source published 2026-10-06 · EmergingDISCOVERYGoogle's AI & Economy ATLAS draws on 2,600 specialized models and a survey of more than 600 US and UK scientists, who reported almost seven hours per week saved while verification and experiments remained bottlenecks.
Source published 2026-09-15 · DemonstratedDISCOVERYIn a University of Washington materials course, students examined patterns surfaced by Ai2 AutoDiscovery, checked literature, and decided whether each result was a useful question, coincidence, or data flaw.
Source published 2026-09-14 · EmergingDISCOVERYNASA and IBM released a Lunar Foundation Model trained primarily on Lunar Reconnaissance Orbiter data for research tasks such as crater and volcanic-feature mapping and possible polar-ice analysis.
Source published 2026-09-10 · EmergingDISCOVERYGoodfire used Ai2's open OLMo post-training stack to trace a known regression and inspect behavioral shifts.
Source published 2026-09-09 · DemonstratedDISCOVERYUniversal Cell Embedding was trained across 36 million cells, more than 1,000 cell types, and eight species to create reusable representations for cell biology.
Source published 2026-07-08 · DemonstratedDISCOVERYResearchers used an AI system called Robin to connect biological evidence and identify a candidate direction for dry age-related macular degeneration, then tested it in laboratory models.
Source published 2026-05-19 · ExperimentalDISCOVERYGoogle DeepMind reported that AlphaEvolve improved a trained graph neural network's ability to find feasible solutions to the AC Optimal Power Flow problem from 14% to more than 88%.
Source published 2026-05-07 · DemonstratedDISCOVERYResearchers trained Merlin on roughly six million images from 15,331 CT scans to support multiple abdominal imaging tasks.
Source published 2026-03-04 · DemonstratedDISCOVERYAlphaGenome is a unified DNA-sequence model that takes up to 1 Mb of DNA and predicts thousands of functional genomic tracks, including gene expression, splicing, chromatin features, transcription-factor binding, and contact maps.
Source published 2026-01-28 · DemonstratedDISCOVERYAnomalyMatch processed 99.6 million Hubble Legacy Archive cutouts and the study reports 1,339 anomalies, more than 800 of them previously undocumented, with experts reviewing the candidates.
Source published 2025-12-16 · DemonstratedDISCOVERYGoogle DeepMind and Commonwealth Fusion Systems announced a partnership in which CFS uses the open-source TORAX plasma simulator in daily workflows to test and refine SPARC operating plans before the tokamak is turned on.
Source published 2025-10-16 · EmergingDISCOVERYResearchers developed Deep Loop Shaping, a reinforcement-learning feedback controller tested on the LIGO Livingston Observatory to reduce control noise in a difficult mirror-control loop.
Source published 2025-09-04 · DemonstratedDISCOVERYA multicenter randomized, controlled, double-blind superiority trial tested whether adding AI-detected spatio-temporal electrogram-dispersion targets to pulmonary-vein isolation improves treatment of drug-refractory persistent atrial fibrillation.
Source published 2025-02-14 · DemonstratedDISCOVERYFunSearch combined language models with program evaluation to discover mathematical constructions.
Source published 2023-12-14 · DemonstratedDISCOVERYGNoME used graph networks to search for energetically favorable crystal structures.
Source published 2023-11-29 · ExperimentalDISCOVERYScientists used machine learning to help engineer an enzyme that breaks down PET plastic.
Source published 2022-04-27 · ExperimentalDISCOVERYHistorians working with Ithaca improved the restoration of damaged ancient Greek inscriptions.
Source published 2022-03-09 · DemonstratedDISCOVERYResearchers used reinforcement learning to control magnetic confinement in a research tokamak.
Source published 2022-02-16 · DemonstratedDISCOVERYStarcloud says its Starcloud-1 satellite launched with an NVIDIA H100 and later trained nanoGPT in space.
Source published date unknown · Emerging