Space, science, new instruments. A place to discover developments quickly, then stay with the questions that matter to you.
Newest source publications first. These are source dates, not live activity.
New company commitments and federal research awards promise practical help for research teams. The next test is what scientists can actually do with it.
Emerging · U.S. Department of Energy / Genesis Mission Consortium / Carnegie Mellon UniversityA 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.
Emerging · NVIDIAInitially 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.
Emerging · OpenAI / Advisory Group on Mathematics and Artificial IntelligenceGoogle'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.
Demonstrated · Google / MIT FutureTechIn 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.
Emerging · Allen Institute for AI / University of WashingtonNASA 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.
Emerging · NASA / IBM ResearchGoodfire used Ai2's open OLMo post-training stack to trace a known regression and inspect behavioral shifts.
Demonstrated · Allen Institute for AI / GoodfireNASA reports that a COFFIES machine-learning model can predict the appearance of solar active regions, including far-side emergence, up to 12 hours before they appear.
Experimental · NASA / COFFIESUniversal Cell Embedding was trained across 36 million cells, more than 1,000 cell types, and eight species to create reusable representations for cell biology.
Demonstrated · Universal Cell Embedding research collaboration / Tabula SapiensTESSERA provides 10-meter, pixel-wise annual embeddings learned from Copernicus Sentinel-1 and Sentinel-2. ESA says the model first launched in 2025; its repository and a peer-reviewed CVPR 2026 paper now document the work.
Demonstrated · European Space Agency / University of Cambridge Earth ObservationResearchers 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.
Experimental · Robin research collaboration / National Eye InstituteGoogle 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%.
Demonstrated · Google DeepMind / Google Research