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 ...

The integration of machine learning techniques into microstructure design and the prediction of material properties has ushered in a transformative era for materials science. By leveraging advanced ...

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 ...

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 ...

Machine learning redesigns microscopic web sensors to be five times more flexible than nature-inspired versions, enabling detection of masses as small as trillionths of a gram.

Neel Somani has built a career that sits at the intersection of theory and practice. His work spans formal methods, mac ...

The inner circle classifies fiber sensors into ‘Macroscopical’ and ‘Microscopical’ according to the fiber dimension. The outer pie chart shows the classification according to the working principles.

Recent study reveals machine learning's potential in predicting the strength of carbonated recycled concrete, paving the way ...

What if vaccine development didn’t have to take a decade? This piece looks at how AI is helping scientists ask better ...

Researchers from the Faculty of Engineering at The University of Hong Kong (HKU) have developed two innovative deep-learning ...