Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...

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.

B, an open-source AI coding model trained in four days on Nvidia B200 GPUs, publishing its full reinforcement-learning stack as Claude Code hype underscores the accelerating race to automate software ...

Amid this shift, Interview Kickstart has introduced an advanced machine learning and agentic AI program designed to help ...

Joining the ranks of a growing number of smaller, powerful reasoning models is MiroThinker 1.5 from MiroMind, with just 30 ...

South Korea's industrial heavyweights are arriving at CES 2026 with a shared message: artificial intelligence is moving ...

A Fortune 500 retailer cut robot idle time by 15%, replenishment cycles by 12%, and costs by 8% in two months. Most ...

The 18 core scientists behind R1 continue to power the start-up's AI ambitions and capabilities amid growing anticipation of ...

A shortage of qualified AI engineers and other talent as well as escalating corporate reliance on AI strategy are pushing AI ...

The Elon Musk-founded artificial intelligence company expands its investor base beyond the targeted round size as it ...

Machine learning technique teaches power-generating kites to extract energy from turbulent airflows more effectively, ...