As enterprise AI initiatives expand, many organizations are finding that tools and pilot programs alone do not create durable ...

Reliable and scalable water level prediction is crucial in hydrology for effective water resources management, especially ...

Two parallel experiments in protein self-assembly produced strikingly different results, demonstrating that protein designers ...

Martial arts robots may play well on stage, but can they get work done? A look at what it takes to deliver the reliability and safety required for autonomous robotic systems ...

Epshtein argues that a deeper understanding of generalization and principled use of prior knowledge are essential to building ...

Financial firms that combine AI, data infrastructure, and responsible governance will lead the next era of fintech innovation and customer experience.

ATLANTA, March 16, 2026 (GLOBE NEWSWIRE) -- bloomway.ai begins public beta testing today. Bloomway AI based in Atlanta, Georgia, the company combines film production expertise with machine learning to ...

Explainability tools are commonly used in AI development to provide visibility into how models interpret data. In healthcare machine learning systems, explainability techniques may highlight factors ...

Integrating AI into chip workflows is pushing companies to overhaul their data management strategies, shifting from passive storage to active, structured, and machine-readable systems. As training and ...

Shallem, Greg Ravikovich and Eitan Har-Shoshanim examine how AI addresses the challenge of data overload in solar PV.

The focus of artificial-intelligence spending has gone from training models to using them. Here’s how to understand the ...