Topic
Use of machine learning models to accelerate or augment scientific simulation and discovery.
Anthropic says Claude designed a quantum circuit with 17 times fewer gates after a 53-hour experiment with Harvard and QuEra researchers. The cost is 12 percent more qubits than the smallest earlier design, so the saving helps only teams that can spare them.
Reality
Anthropic says Claude Mythos 5 beat prior quantum circuit designs on seven of eight tasks, with up to 17 times fewer gates in one case. The scores are automated gate and qubit counts, and the circuit behind the 17x needed slightly more qubits.
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Caltech-led researchers report that a neural operator predicted a simulated cloud tipping point more than two years ahead, with an error of about 11 days. The PNAS paper uses only simplified models, so the real climate remains untested.
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OpenAI is offering eligible US university labs up to 30 free GPT-Rosalind seats for up to 12 months. The plan excludes API access and sits behind vetting and monitoring, so labs get a supervised seat and no endpoint to call from their own code.
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Yale's John Sous says correcting errors in physics benchmark problems lifted cutting-edge AI scores from as low as 30% to as high as 94%. Well-defined problems may be within reach, but the case that physics will follow maths is still open.
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Stockholm startup Holyvolt raised $45 million in equity from Fifth Wall, Zone II and CC.VC to hunt for battery chemistries China doesn't control. Chief operating officer Steven Prast puts lithium-ion at best 20% through its maturity curve, an estimate the thesis depends on.
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MIT researchers found the best models they tested solved about 35% of theory problems in mid-2026, up from 2% in mid-2024. The study covers only theory fields that need no lab work, and one author says answers still need verifying.
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Google DeepMind and Google Cloud will give up to 200 European researchers access to frontier models and $3 million in compute credits. The pool is small, so any lock-in would come from the habits labs build around five Google models.
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Anthropic says Claude found a CRISPR-like repeat array beside a reverse transcriptase gene in a bacteriophage, function unknown. The company's researchers say they have no idea yet what it does, so the finding is a lead for lab validation.
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DOE awarded $159 million to 12 Phase II Genesis Mission projects, bringing the Phase II total to 14. The awards go to project teams, and the report does not say what any cloud provider will be paid.
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Anthropic's Claude Science helped Brice Menard build the first complete ultraviolet sky map, modeling roughly a third no UV telescope has observed. Agents ran the days-long pipeline, but the Johns Hopkins astrophysicist caught an artifact two agent reviews missed, runtimewire reported.
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Nvidia committed $1 billion over five years to US science research tied to the Trump administration's Genesis Mission. It has not published how the money splits, so labs and cloud buyers cannot yet tell who gets compute or when.
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NASA will expand dual-anonymous peer review of science proposals and fund 10 Genesis Mission Fellows, it said at the White House Golden Age Summit. Proposers should expect more calls judged without names attached, in a change NASA's administrator describes as an experiment in how the agency evaluates ideas.
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PNNL is building AQUA-WOLF, an AI agent meant to take over the hours physicists spend hand-tuning amplifiers for dark-matter and qubit work. Its first reward is signal gain alone, and noise, the property these amplifiers exist to keep near zero, gets scored only in a later stage.
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PhAI Labs' JEPA-Anything splits a world model's prediction into several modules, cutting error 35% against a standard JEPA on a Pong task. Its reported comparisons use that one baseline, and its liver cancer pick has only lab and mouse data.
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Ai2 open-sourced AstaBrief 8B, which writes cited research reports in 51.1 seconds against 178.5 for Asta's Claude-powered mode. Labs that cannot send unpublished research questions to a hosted model can now run a cited-report generator on their own servers.
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3 publishersReality
Microsoft says its Quine system narrowed thousands of compounds to a pancreatic cancer shortlist in one weekend. For research-AI teams, the part to study is the harness that sends lab results back into the next question, and nobody has yet measured its value across cycles.
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Anthropic ran about 950 Claude agents for 21 hours on 210 million tokens to cut over 200,000 reverse transcriptases to 20 lab candidates. Human scientists kept the bench work, so lab capacity sets how fast those leads get tested.
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A Washington State University team spent 40 print runs against a 100-million-option parameter space and came back with six working settings for GRCop-42, including a first at 500 watts.
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The Model Hardware Standard would let agents drive microscopes and robot arms. Anthropic is keeping it to trusted partners for now, which leaves open who at each site writes the rules about what must not be touched.
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