Plasma mirrors capable of withstanding the intensity of powerful lasers are being designed through an emerging machine learning framework. Researchers in Physics and Computer Science at the University ...

High-power lasers are promising tools for developing new solutions for healthcare, manufacturing and nuclear fusion. However, says the Strathclyde group, “these are becoming large and expensive owing ...

A collaborative research team has developed the world's first AI-based optical diagnostic platform that enables rapid and ...

When a quantum computer processes data, it must translate it into understandable quantum data. Algorithms that carry out this 'quantum compilation' typically optimize one target at a time. However, a ...

WEST LAFAYETTE, Ind. — To expand the availability of electricity generated from nuclear power, several countries have started developing designs for small modular reactors (SMRs), which could take ...

Why standard, cuff-based blood-pressure measurements are insufficient for some desired types of assessments. How electro-optical techniques can be used for consistent, real-time data. The results ...

This course covers three major algorithmic topics in machine learning. Half of the course is devoted to reinforcement learning with the focus on the policy gradient and deep Q-network algorithms. The ...

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 ...