Technologies that underpin modern society, such as smartphones and automobiles, rely on a diverse range of functional ...

By applying machine learning to experimental data in materials science, it may be possible to replicate such intuition ...

A team led by Guoyin Yin at Wuhan University and the Shanghai Artificial Intelligence Laboratory recently proposed a modular machine learning ...

For more than a century, scientists have wondered why physical structures like blood vessels, neurons, tree branches, and ...

Tessellations aren’t just eye-catching patterns—they can be used to crack complex mathematical problems. By repeatedly reflecting shapes to tile a surface, researchers uncovered a method that links ...

In fraud and bot detection, people usually think of fingerprinting as the classic browser or device fingerprint. This comes ...

Dr. Gunjan Sharma develops DP-coloring frameworks to ensure seamless coordination and predictable complexity in large-scale ...