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, ...

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.

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

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 ...

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

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

The most read technical articles of the year cover a wide range of topics, including contributions on AI, design patterns, ...

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

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

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

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

Scientists are building experimental computers from living human brain cells and testing how they learn and adapt.