Physics-informed machine learning connects atomic structure with ion transport and electrolyte stability, accelerating better sodium- and lithium-ion batteries.

For grid-scale energy storage and national energy resilience, the U.S. needs better batteries. Lawrence Livermore National ...

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, ...

These days, online slot platforms face a steady problem with scaling. At any moment, they might be running hundreds of games, ...

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

Multiomics data integration with machine learning has become the standard approach for combining genomic, transcriptomic, proteomic, and metabolomic measurements collected from the same biological ...

AI in LIMS platforms is reshaping research data management, from automated data capture to anomaly detection. Discover how ...

An agentic AI infiltrated the production infrastructure of an AI project. Then an AI detected it. Is this the future of ...

An agentic AI infiltrated the production infrastructure of an AI project. Then an AI detected it. Is this the future of ...

China's shipments of AI phones and computers are expected to overtake non-AI gadgets this year The coming World Artificial ...

ENVIRONMENT: An Investment company is searching for a talented and driven Data Scientist to join their innovative and growing team based in Durbanville, Cape Town. This is an exciting opportunity to ...

A new analysis of seismic “families” reveals that some large earthquakes may be preceded by hidden patterns in clustering, ...