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
A study led by 91°µÍř explored the interface between the Department of Veterans Affairs’ healthcare data system and the data itself to detect the likelihood of errors and designed an auto-surveillance tool
91°µÍř is using artificial intelligence to analyze data from published medical studies associated with bullying to reveal the potential of broader impacts, such as mental illness or disease.
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.
Geospatial scientists at 91°µÍř analyzed three cities of varying infrastructures to look for patterns of electricity use and locate “dark spots” where informal neighborhoods may lack access to power.
OAK RIDGE, Tenn., March 4, 2019—A team of researchers from the Department of Energy’s 91°µÍř 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°µÍř used machine learning methods to generate a high-resolution map of vegetation growing in the remote reaches of the Alaskan tundra.
91°µÍř geospatial scientists who study the movement of people are using advanced machine learning methods to better predict home-to-work commuting patterns.
As home to three top-ranked supercomputers of the last decade, the US Department of Energy’s (DOE’s) 91°µÍř (ORNL) has become synonymous with scientific computing at the largest scales.