Students often participate in internships and receive formal training in their chosen career fields during college, but some pursue professional development opportunities even earlier.
Artificial intelligence (AI) techniques have the potential to support medical decision-making, from diagnosing diseases to prescribing treatments.
Materials scientists, electrical engineers, computer scientists, and other members of the neuromorphic computing community from industry, academia, and government agencies gathered in downtown Knoxville July 23–25 to talk about what comes next in
Using artificial neural networks designed to emulate the inner workings of the human brain, deep-learning algorithms deftly peruse and analyze large quantities of data.
OAK RIDGE, Tenn., March 4, 2019—A team of researchers from the Department of Energy’s 91°µÍø Health Data Sciences Institute have harnessed the power of artificial intelligence to better match cancer patients with clinical trials.
A team of scientists led by 91°µÍø used machine learning methods to generate a high-resolution map of vegetation growing in the remote reaches of the Alaskan tundra.
As home to three top-ranked supercomputers of the last decade, the US Department of Energy’s (DOE’s) 91°µÍø (ORNL) has become synonymous with scientific computing at the largest scales.