Oak Ridge National Laboratory 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 Oak Ridge National Laboratory 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 Oak Ridge National Laboratory 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 Oak Ridge National Laboratory used machine learning methods to generate a high-resolution map of vegetation growing in the remote reaches of the Alaskan tundra.
Oak Ridge National Laboratory 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) Oak Ridge National Laboratory (ORNL) has become synonymous with scientific computing at the largest scales.
The City of Knoxville public service crews demonstrated a new de-icing device made possible by the Department of Energy’s Oak Ridge National Laboratory and the University of Tennessee, Knoxville.
As hurricanes barrel toward the coastlines and wildfires rage in arid regions of the United States, scientists at the Department of Energy’s Oak Ridge National Laboratory are providing critical geospatial data to support first responders as they work to
In an effort to reduce errors in the analyses of diagnostic images by health professionals, a team of researchers from the Department of Energy’s Oak Ridge National Laboratory has improved understanding of the cognitive processes involved in image inter