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 ...

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 ...

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 new training method doesn't use sensors or onboard control tweaks, but a single camera that watches the robot's movements ...

Stanford researchers have become the first to demonstrate that machine-learning control can safely guide a robot aboard the ISS, laying the groundwork for more autonomous space missions. Imagine a ...

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 ...

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 ...

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...

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 ...