AI climate fashions have spent three years closing the hole with physics-based forecasting, however two issues stayed open: decision too coarse for native terrain, and initialization tied to numerical climate prediction (NWP) evaluation that arrives about six hours late. WeatherNext 3, launched by Google DeepMind and Google Research, assaults each. It takes a stay world…
Quantitative analysis brokers that write their very own experiments can corrupt the proof they later study from. A leaky function that scores effectively will get saved as a profitable precedent and propagated by means of later iterations. Prompt-level directions and reviewer brokers don’t shut this, as a result of creator and reviewer share the identical…
MirroS launched Code-as-World: a paradigm that represents bodily worlds by means of executable world representations. The argument is slender and testable: pixels are proof of a bodily scene, not its ontology. A video mannequin can predict believable frames with out ever representing mass, contact, or gravity. So as an alternative of pixels, latents, or captions,…
Google Research and UNSW Sydney have launched GlucoFM, a self-supervised basis mannequin for continuous glucose monitoring. Its core transfer is a cut up. Existing CGM fashions — CGMformer, GluFormer, CGM-JEPA — encode a glucose hint as one entangled sequence. GlucoFM decomposes it right into a sluggish physiological “state” stream and a transient “occasion” stream, retains…
A workforce from Google Research and USC has launched Mobility-Embedded POIs (ME-POIs), a framework that folds combination human motion into text-based place embeddings. The premise is that language fashions describe what a place is, however not how it’s used. Two espresso retailers can share a class, an handle block, and a textual content vector, whereas…
Frontier open-weight fashions are transport quicker than the {hardware} assumptions round them. Kimi-K3, GLM-5.2 and DeepSeek-V4-Flash are closing the aptitude hole with proprietary methods, however releasing parameters solely determines who can get hold of a mannequin — not who can afford to run it. Serving them nonetheless assumes datacenter-class GPU clusters, and as agentic workloads…
Object elimination fashions have improved sooner than the metrics used to guage them. Diffusion erasers now reconstruct shadows, reflections and occluded construction convincingly, but PSNR, SSIM, LPIPS, ReMOVE and CFD incessantly rank their outputs the unsuitable manner. The root trigger is structural: erasure is an ill-posed, one-to-many activity, so no single floor fact exists to…
Backpropagation dominates deep studying, but it makes use of a mechanism the mind probably can’t. Specifically, the backward cross wants actual transposes of ahead weight matrices. This is the weight transport drawback. Sakana AI’s new paper, Diffusing Blame, confronts this constraint immediately. The analysis staff trains networks that obey Dale’s precept whereas avoiding weight transport…
Most reinforcement studying benchmarks reset the world after each episode. Real operations by no means reset. Skyfall AI’s MORPHEUS targets that hole. It is a persistent enterprise simulation platform for continuous reinforcement studying (CRL). What is MORPHEUS? MORPHEUS is grounded within the Big World Hypothesis (Javed & Sutton, 2024). It says the world’s complexity exceeds…
Frontier fashions be taught principally from public web information. However, scientific neuroimaging not often seems there, as a result of MRI and CT scans comprise identifiable facial options. Consequently, normal fashions underperform on brain-imaging duties. A University of Michigan analysis workforce addresses this hole with NeuroVFM, published in Nature Medicine. What is NeuroVFM? At its…