Artificial intelligence

Machine learning stabilizes synchrotron beams

Complex 3D maps of chemical reactions could soon be acquired using better light sources

AI dermatology tool needs more diverse skin types in its training datasets

An artificial intelligence-powered algorithm trained to identify skin conditions doesn't work effectively on black skin

Intellegens chief technology officer Gareth Conduit (right) and chief executive officer Ben Pellegrini (second from right) with colleagues (left to right) Robert Parini, Tom Whitehead, Sue Flatman and Jamie Smith

Neural networks extract information from sparse datasets

An algorithm developed by Cambridge physicist Gareth Conduit and inspired by many-body quantum mechanics is the driving force behind a novel materials-science spin-out

Machine learning collaborations accelerate materials discovery

Combining forces with other numerical approaches, as well as collaborating with other research groups across the world, adds strength to data-driven techniques for materials science