Patronus AI unveiled “Generative Simulators,” adaptive “practice worlds” that replace static benchmarks with dynamic reinforcement-learning environments to train more reliable AI agents for complex, ...

Adaptive test is starting to gain traction for high-performance computing and AI chips as test programs that rely on static limits and fixed test sequences reach their practical limits. The growing ...

As we head into the New Year, experts across the tech landscape weigh in to share what they think will happen in 2026 ...

AWS, Cisco, CoreWeave, Nutanix and more make the inference case as hyperscalers, neoclouds, open clouds, and storage go ...

For IT and HR teams, SLMs can reduce the burden of repetitive tasks by automating ticket handling, routing, and approvals, ...

Today's AI agents are a primitive approximation of what agents are meant to be. True agentic AI requires serious advances in reinforcement learning and complex memory.

Designers are utilizing an array of programmable or configurable ICs to keep pace with rapidly changing technology and AI.

Jessica Lin and Zhenqi (Pete) Shi from Genentech describe a novel machine learning approach to predicting retention times for ...

Unfinished tasks occupy your brain differently than completed ones. Discover why "done" matters more than "perfect"—and how to engineer closure.

SHENZHEN, China, Dec. 30, 2025 /PRNewswire/ -- Tencent Cloud , the cloud business of leading global technology and ...

With more than 50,000h of operational experience having been accumulated by its uncrewed aerial systems (UAS) over the ...

Overview AI agents will automate core banking workflows while assisting frontline teams.Hyper-personalized financial ...