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.

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

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

Adaptive ML is a New York-headquartered Reinforcement Learning (RL) company and the provider of Adaptive Engine, an end-to-end Reinforcement Learning Operations (RLOps) platform to tune, evaluate, and ...

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

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

I discuss what open-source means in the realm of AI and LLMs. There are efforts to devise open-source LLMs for mental health guidance. An AI Insider scoop.

AI methods are increasingly being used to improve grid reliability. Physics-informed neural networks are highlighted as a ...

A practical guide to the four strategies of agentic adaptation, from "plug-and-play" components to full model retraining.

Artificial Intelligence (AI) has achieved remarkable successes in recent years. It can defeat human champions in games like Go, predict protein structures with high accuracy, and perform complex tasks ...