Large language models lack grounding in physical causality — a gap world models are designed to fill. Here's how three distinct architectural approaches (JEPA, Gaussian splats, and end-to-end ...

Data work in 2026 asks for more than chart building. Professionals are expected to clean data, query databases, explain trends, and present findings clearly across business, finance, product, and ...

Microscopic images of human tissue are a cornerstone of biomedical research and clinical diagnostics. Yet despite their importance, these images often remain difficult to analyze systematically and to ...

Researchers create a new polymer that mimics the mechanical, thermal, and electromagnetic properties of brain tissue, driving ...

Accurate spatiotemporal prediction is fundamentally essential for anticipating and managing the dynamic evolutions within global physical, environmental, ...

Microsoft has launched a database management tool it promises will help users manage multiple databases sharing a single SQL engine. With the vendor's Fabric data platform, Database Hub promises a ...

Microsoft used Nvidia's GTC conference this week to roll out a series of enterprise AI announcements spanning agent infrastructure, real-time voice interactions and next-generation GPU deployments.

Nvidia used GTC 2026 to unveil new physical AI models, simulation tools, and robotics partnerships aimed at factories, ...

Abstract: Early availability of estimated values of critical Power-Performance-Area [PPA] parameters which are known only after end of EDA tool run, can be of immense value in accelerating design ...

Tight oil reservoirs, such as the Chang 8 formation in the Dadonggou area of the Ordos Basin, commonly encounter severe challenges including strong heterogeneity, and low recovery factors under ...

Abstract: Because of the complex and multifactorial nature of gear degradation, purely data-driven prediction models are often limited by their closed box characteristics, resulting in low reliability ...