Researchers have developed a self-tuning zeroing neural network with a dynamic adaptive gain and integral activation function ...

Traditional processes used to discover new materials are complex, time-consuming, and costly, often requiring years of sustained effort. Recent advances in large language models (LLMs) have ...

What you will learn in this article・ Discovery of scaling laws for RoboJEPA based on an 8-billion parameter JEPA architecture ...

What if you could design a system where multiple specialized agents work together seamlessly, each tackling a specific task with precision and efficiency? This isn’t just a futuristic vision—it’s the ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. As the CTO of an AI-native email management startup, I've spent the past year building multi ...

What happens when you give AI coding agents a lab full of robotic arms, some compute resources, and a “generous token budget” for teaching the robots various tasks? The agents can apparently figure ...

What if the very systems designed to transform problem-solving are quietly failing behind the scenes? Multi-agent AI, often hailed as the future of artificial intelligence, promises to tackle complex ...

For the last two years, enterprise artificial intelligence has been stuck in the assistant phase, a world of smarter emails and faster document summaries that boosted individual productivity but left ...