Case closed: Neutrons settle 40-year debate on enzyme for drug design
Filter News
Area of Research
News Type
News Topics
- (-) Artificial Intelligence (12)
- (-) Machine Learning (5)
- 3-D Printing/Advanced Manufacturing (15)
- Advanced Reactors (7)
- Big Data (7)
- Bioenergy (9)
- Biomedical (5)
- Biotechnology (1)
- Clean Water (5)
- Composites (2)
- Computer Science (35)
- Cybersecurity (5)
- Energy Storage (8)
- Environment (19)
- Exascale Computing (2)
- Frontier (2)
- Fusion (5)
- Grid (5)
- Isotopes (1)
- Materials Science (20)
- Mercury (1)
- Microscopy (5)
- Molten Salt (1)
- Nanotechnology (6)
- Neutron Science (18)
- Nuclear Energy (17)
- Physics (6)
- Polymers (2)
- Quantum Science (10)
- Security (2)
- Space Exploration (4)
- Summit (9)
- Sustainable Energy (8)
- Transportation (12)
Media Contacts
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. Applying this technique to science problems can help unearth historically elusive solutions.
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.
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.