DeepMind has found a way to hide a signature inside an AI-designed protein without breaking it
The target is gene synthesis screening: a provider that can detect the mark can tell where an ordered sequence came from.
Coverage of artificial intelligence research: notable papers, new architectures, interpretability work and results that change what models can do.
DeepMind has found a way to hide a signature inside an AI-designed protein without breaking it
The target is gene synthesis screening: a provider that can detect the mark can tell where an ordered sequence came from.
The paper's authors include OpenAI's chief scientist, an Anthropic co-founder, Microsoft's chief scientific officer and the Turing laureates Geoffrey Hinton, Yoshua Bengio and Andrew Barto.
Stanford and Caltech drove a humanoid through unfamiliar rooms with no trained action layer at all
The robot explores first, the run is rebuilt as a digital twin in Isaac Sim, and the model picks a skill and a target on every step.
Claude computed a nine-loop scattering amplitude that nobody in the field had reached
Matt von Hippel asked AI companies to take a frontier amplitudes calculation on an academic's budget. Two Anthropic physicists gave Claude one prompt and told it to keep going while they slept.
Stanford and Nvidia have opened a decision-only model that answers by matching, not by writing
The weights are on Hugging Face under Apache 2.0, and the trained part is two small projection heads on a frozen Qwen3-8B encoder.
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