Materials with advanced customized properties drive innovation in a number of real-life applications across various fields, such as information technology, transportation, green energy and health ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More It was only a matter of time before machine learning transformed the ...

Scientists at the University of Toronto have successfully tested the use of machine learning models to guide the design of long-acting injectable drug formulations. The potential for machine learning ...

Understanding the properties of different materials is an important step in material design. X-ray absorption spectroscopy ...

Why it matters: Google is designing an operating system for embedded applications that runs machine learning algorithms. KataOS' main targets are security and privacy protection, working with open ...

A company developing means to use machine learning to map the immune system and thus aid the development of cell therapies and cancer immunotherapies is emerging from stealth mode with a hefty round ...

The method conceptualises neural models as collections of interconnected optimisation problems functioning across multiple levels.

Rolling bearings are essential components in automated machinery with rotating elements. They come in many shapes and sizes, but are essentially designed to carry a load while minimizing friction. In ...

This system utilizes machine learning algorithms to optimize the operation of particle accelerators, reducing manual intervention and enhancing precision in real-time control. By integrating virtual ...