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
91°µÍř is training next-generation cameras called dynamic vision sensors, or DVS, to interpret live information—a capability that has applications in robotics and could improve autonomous vehicle sensing.
Researchers at 91°µÍř are taking inspiration from neural networks to create computers that mimic the human brain—a quickly growing field known as neuromorphic computing.
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
Researchers at the Department of Energy’s 91°µÍř have received six R&D 100 Awards in recognition of their significant advancements in science and technology.
In a project leveraging computer vision, machine learning, and sensors, 91°µÍř scientists are working with private company GRIDSMART Technologies, Inc.
A team of researchers from the Department of Energy’s 91°µÍř has married artificial intelligence and high-performance computing to achieve a peak speed of 20 petaflops in the generation and training of deep learning networks on th
For smarter data management and analysis, researchers have developed a low-power neuromorphic device based on spiking neural networks that can quickly and more efficiently analyze and classify data.
Deep neural networks—a form of artificial intelligence—have demonstrated mastery of tasks once thought uniquely human.
A team of researchers from 91°µÍř has been awarded nearly $2 million over three years from the Department of Energy to explore the potential of machine learning in revolutionizing scientific data analysis.