Free webinar examines how AI and machine learning are transforming precision motion control across multiple industries.

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 ...

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 ...

Autonomous systems are playing a significant role in modern society, including self-driving cars and unmanned vehicles. Current and future engineers will be faced with significant challenges in ...

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 ...

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 ...

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 ...

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 ...