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 ...

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

Researchers developed an advanced AI system named YORU that can identify specific animal behaviors with over 90% accuracy ...

A male fruit fly in a laboratory chamber extends his wings and vibrates them to produce his species' version of a love song.

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 studies the data-driven adaptive iterative learning control (DDAILC) problem for nonlinear stochastic systems. First, the DDAILC framework for nonlinear stochastic systems is ...