Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...

Ivan Stefanov, CEO and Co-Founder of NOTO, shares how AI, machine learning and unified platforms are reshaping financial crime prevention for institutions ...

Vertiv™ Next Predict is a new AI-powered, managed service that combines field expertise and advanced machine learning algorithms to anticipate issues before they occur ...

By transforming movement into data, Timothy Dunn is reshaping how scientists can study behavior and the brain.

The field of additive manufacturing is undergoing a profound transformation as artificial intelligence (AI) and machine learning (ML) become integral to the ...

With OpenShift 4.21, you can simultaneously modernize existing IT infrastructure and accelerate AI innovation on a single, ...

The Expanding Universe of CNC Applications and Market Drivers The demand for sophisticated CNC solutions is fueled by several ...

Abstract: Transfer learning in robotics aims to transfer knowledge across different robot agents or tasks. Current methods in trajectory tracking problems leverage transferred knowledge to provide a ...

Abstract: This paper presents a data-driven iterative learning control (ILC) framework to tackle the critical challenge of achieving dynamic symmetry and trajectory coordination in multi-agent systems ...

An arbitrator has ordered the immediate reinstatement of a heavy machine operator fired last summer from a “safety sensitive” ...

The team utilized machine learning to analyze public data from the National Health and Nutrition Examination Survey.

One thing to emerge from OpenClaw is Moltbook, a social network where AI agents post, comment and share information ...