A Microsoft Research study shows that running physical AI inference solely on robots' onboard GPUs limits performance, battery life and scalability, and offloading inference to edge or cloud GPUs can significantly improve it.
The UK AI Security Institute (AISI) has begun using EvalEval's infrastructure to publicly share evaluation results, including verified results for five benchmarks—HealthBench, FrontierMath, Humanity's Last Exam, SWE-Bench Pro and Terminal-Bench 2.0—as well as two cyber evaluations, Cyber CTFs and The Last Ones.
Google Research, together with HHMI Janelia, the MRC Laboratory of Molecular Biology, the University of Cambridge and others, has published in Cell a complete connectome map of the male fruit fly brain and central nervous system, containing over 166,000 neurons and 125 million synaptic connections — the largest brain map to date by neuron count.
Why it matters: The article details the connectome's scale, the AI reconstruction methods, and an open-source viewer, so readers can gauge the current limits of connectomics and the resources available.
Voice Arena and Hugging Face released four Monsoon evaluation sets for the Open ASR Leaderboard, covering Indian English and Hindi, with Hindi the first non-European language on the multilingual leaderboard.
Why it matters: The original details the Monsoon sets' split structure, speaker coverage and regional analysis examples, helping readers understand sources of model differences beyond aggregate WER.
Hugging Face has published a paper that enables offline distillation by caching the teacher's top-100 logits, and introduces a fused chunked KL loss that avoids generating full vocabulary-by-sequence-length matrices.
SentinelOne researchers dissected a virus from roughly 20 years ago, fast16.sys, which tampered with in-memory computation results of high-precision engineering software (such as LS-DYNA 970, PKPM, and MOHID), potentially enabling sabotage related to weapons development — reminiscent of the sophon interference in The Three-Body Problem.
Google Research has published the ICLR paper ReasoningBank, proposing a framework that distills high-level reasoning memory from an agent's successful and failed experiences, distinguishing it from Synapse and AWM, which only record trajectories or summarize successful workflows.
Google Research has proposed MoGen, a neuron morphology generation model based on PointInfinity point cloud flow matching. Trained on 1,795 human-verified mouse axons, it generates synthetic neuron shapes to expand training data for the PATHFINDER reconstruction model.