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Out of five screenings that have already been analysed, the agent has confidently identified a single gene in more cells than the researchers did, and turns every error into a proposed fix for the open-source project.
Rather than fact-checking every piece of fake news, researchers are teaching strategies that recur across different pieces of fake news. When used as language models, humans are better at distinguishing truth from falsehood on unfamiliar topics.
Out of 2,000 candidate excerpts, the decoder ranks the correct one in its top 10 for more than 42 per cent of queries, by combining representations of text, audio and speech.
Co-ordinated by the game’s chat function and a shared memory, with no assigned roles or hand-coded logic, four agents completed a survival game after 2,783 programmes had been written and 605 deaths.
Google Quantum AI has demonstrated on its Willow chip that a filtering protocol produces quantum states with 99.99 per cent logical fidelity, overcoming one of the major hurdles to universal quantum computing.
GPT-6 Astra Pro, followed by teams of Gemini 4 agents, produced plasma equilibria that the physicist Harold Grad had deemed impossible, for less than $3 per problem.
Based on a single instruction, this agent – which combines an LLM, knowledge of physics and simulations – designs a ring with an emittance of less than 10 pm and recalibrates the model of a real-world facility.
Working with researchers from Harvard and QuEra, Anthropic had Claude optimise quantum computing building blocks; in a typical scenario, a Reed-Solomon decoder’s memory requirement is reduced from 665 to 19 qubits.
The values provided by the NSA in the late 1990s, without any explanation, were generated by a simple pseudo-random number generator from the C library, initialised using the machine’s clock.
According to a lengthy essay published by Goodfire, ‘polysemantic’ neurons are primarily the result of architectural flaws that can be corrected. Modern networks are said to remain interpretable even with trillions of parameters.
Using a low-cost PBE calculation, it estimates the HSE06 level energies with an average error of 0.171 eV, and reduces the error by 68.7 per cent for strongly correlated materials.
Pavlo Dral and his colleagues propose learning how to generalise from one quantum computing method to another, in order to make predictions that go beyond the quality of the training data.
Fields Medal winner launches a consortium of research laboratories dedicated to specialised models, the generation of conjectures and the formalisation of proofs, believing that China is lagging behind the United States.
A single Qwen3.6-27B designs, executes and evaluates multi-agent flows, then trains on its best runs: achieving up to 1.6 times the score per token across four research benchmarks.
Traditional models of chemistry struggle to account for enzyme-catalysed reactions; VenusRX learns about reactants, products and catalytic function all at once.
Out of 4,000 PNAS abstracts rewritten by 23 versions of LLMs, a detector that identifies 99 per cent of the rewrites before a generational change can identify only 3.8 per cent immediately afterwards.
Announced in Washington, the commitment focuses on quantum computing, healthcare and energy security, as part of the US government’s Genesis Mission.
A new benchmark tests AI models against 82 unsolved problems from the literature. GPT-6 Astra achieves a 14 per cent success rate for solutions deemed valid, more than double that of the best open-source models.
An open framework combines independent peer review, a specialised wiki and Lean verification. The authors report high scores on several scientific tests from 2026.
The PAGE frame links automatic reading of the plates and human verification. Three studies cover 3,929 American comics and 87 volumes of Japanese manga.