Artificial-intelligence models require the vast computing power of supercomputers, such as this one at the University of California, San Diego.Credit: Bing Guan/Bloomberg via Getty
Science is producing data in amounts so large as to be unfathomable. Advances in artificial intelligence (AI) are increasingly needed to make sense of all this information (see ref. 1 and Nature Rev. Phys. 4, 353; 2022). For example, through training on copious quantities of data, machine-learning (ML) methods get better at finding patterns without being explicitly…
Continue Reading
News Source: www.nature.com