XL, dynamic interest modeling, and distributed stream computing to analyze large-scale e-commerce user behavior. By improving long-sequence prediction, real-time processing, and behavioral clustering, ...

Better simulations of raindrop formation could help improve climate and weather models. This newsletter rocks. Get the most ...

aDepartment of Medicine, University of California San Francisco, San Francisco, CA, USA bDepartment of Medicine, University of California Los Angeles, Los Angeles, CA, USA cDepartment of Medicine, ...

Large language models can write essays, solve math problems, and generate computer code, but it’s not fully understood how ...

Background Adult-onset Still’s disease (AOSD) is a systemic autoinflammatory disorder lacking a gold-standard diagnostic ...

Refik Anadol discusses memory, machine intelligence and Dataland, the Los Angeles museum devoted to AI art and human-machine ...

Objectives Elective non-emergent surgical wait times have increased across countries such as Canada, straining operating room ...

Why can two fields managed in exactly the same way differ so dramatically in nutrient efficiency, crop resilience or fertiliser response?  That’s what ...

An international research consortium announced on June 29 that it has experimentally confirmed two previously unknown superconductors — the first materials ever identified from scratch by a ...

A privacy-preserving marketing framework applies homomorphic encryption to perform machine learning on encrypted ...

Abstract: For radar signal sorting based on pulse descriptors, the inherent limitations of the traditional K-means algorithm include the requirement of a predefined number of clusters, the sensitivity ...

Abstract: This paper introduces a novel adaptive framework for processing dynamic flow signals over simplicial complexes, extending classical least-mean-squares (LMS) methods to high-order topological ...