Artificial IntelligenceFeatured briefing
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Researchers have created a new kind of building block for 3D graphics called Hexels. Hexels are flat, hexagon‑shaped patches that carry a si
Main discovery FLoRe is a framework that learns force‑reactive humanoid loco‑manipulation from robot‑free demonstrations that record both mo
Main discovery The authors present closed-form analytic equations that predict when a multi-planet system will undergo dynamical instability
Main discovery ARENA (Active Region attENtion Aggregation) is an attention-based neural network that predicts whether an M‑ or X‑class (M+)
Main discovery METTA decomposes the fast adaptation phase into two temporal scales. A causal neural memory performs fine-grained within-epis
Main discovery Agentic search episodes are deterministic functions of the policy’s decisions and the sampling noise. This makes “twin worlds
Main discovery LEAP (Learned Energy on Action Paths) frames "action learning" as recovering a stochastic action — a trajectory-level objecti
Researchers introduce “circuits” that organize LLM classifiers into an adaptive sequence of queries and decisions. The goal is to maximize a
Main discovery VioLA is a generalist humanoid policy that predicts compact motion codes (latents) for body and hands. A frozen, pretrained b
Main discovery The paper proposes an active pilot-sampling framework that learns a probabilistic emulator of the model-output covariance mat