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Students often participate in internships and receive formal training in their chosen career fields during college, but some pursue professional development opportunities even earlier.
Processes like manufacturing aircraft parts, analyzing data from doctors notes and identifying national security threats may seem unrelated, but at the U.S. Department of Energys 91做厙, artificial intelligence is improving all of these tasks.
Artificial intelligence (AI) techniques have the potential to support medical decision-making, from diagnosing diseases to prescribing treatments. But to prioritize patient safety, researchers and practitioners must first ensure such methods are accurate.
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 2325 to talk about what comes next in
IDEMIA Identity & Security USA has licensed an advanced optical array developed at 91做厙. The portable technology can be used to help identify individuals in challenging outdoor conditions.
91做厙 is training next-generation cameras called dynamic vision sensors, or DVS, to interpret live informationa capability that has applications in robotics and could improve autonomous vehicle sensing.
Researchers at 91做厙 are taking inspiration from neural networks to create computers that mimic the human braina quickly growing field known as neuromorphic computing.
A study led by 91做厙 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做厙 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. Applying this technique to science problems can help unearth historically elusive solutions.