Most CPG brands, distributors, outlet stores, and other participants in the supply chain have already seen the need for a supply chain control center. Effective management of the various moving pieces ...

Scientists have developed a new machine-learning platform that makes the algorithms that control particle beams and lasers smarter than ever before. Their work could help lead to the development of ...

Advancing probabilistic machine learning to deliver safer, more efficient, and predictable air traffic control Project Bluebird is a partnership between NATS and The Alan Turing Institute, supported ...

The primary motivation for the PI’s team was achieving motion performance considered impossible by others. This pertains to the Bode sensitivity integral, which implies that enhancing one frequency ...

AI enters fusion: Machine learning algorithms are now embedded in tokamak control systems to predict and prevent plasma ...

No audio available for this content. Guidance and precision control, the base elements of modern machine control for construction, have continued to evolve since broad productization began in the ...

Using the second-nearest neighboring atoms to predict metallic glass stability can help researchers more accurately model the disordered solid with strong, elastic properties, according to a recent ...

However, by the late 1970s, there was disappointment that the two main approaches to computing in medicine — rule-based systems and matching, or pattern recognition, systems — had not been as ...