Local AI inference at 32B-parameter quality, no cloud API required: University of Waterloo researchers released PAW on July 2 ...

MIT researchers say they have found a more efficient way to train machine learning models that predict how complex metal alloys will behave.

The seven companies listed here cover the realistic range of what a buyer will encounter in 2026: embedded ML teams that own ...

The Horizon Europe project Mopo has published a new technical publication dedicated to Spine Toolbox, the open-source ...

A new study reveals that dual-atom catalysts behave in a fundamentally different way than scientists previously thought, challenging a long-standing model used to predict catalytic performance.

Supervised machine learning improves predictions of compressive strength in industrial waste-modified concrete, supporting ...

Chiral 2D metal halide perovskites (MHPs) are among the most promising materials for future technologies that exploit the ...

Unconventional AI Inc. has developed an artificial intelligence architecture that could improve the power efficiency of image ...

This week’s Top 10 looks at the applications of machine learning in the energy sector, spotlighting those leading the way including Envision and Uplight By now, almost every company – regardless of ...

Heavy machinery is entering a new phase where hydraulics, electronics and embedded software are engineered as one integrated system. Using model-based systems engineering (MBSE) as a framework to ...

Early-Stage Breast Cancer in Women Younger Than 50 Years: Comparing American Joint Committee on Cancer Anatomic and Prognostic Stages With Partitioning Around Medoids Clusters in SEER Data Large ...

Whether a smartphone battery lasts longer or a new drug can be developed to treat incurable diseases depends on how stably the atoms constituting the material are bonded. The core of molecular design ...