Nvidia’s latest pitch for the future of graphics is not about more polygons or higher memory bandwidth, it is about teaching ...
Calculations show that injecting randomness into a quantum neural network could help it determine properties of quantum ...
This video showcases a groundbreaking achievement: the creation of a table generated entirely by a neural network. Explore ...
A Performant Side-channel-Resistant RISC-V Core Securing Edge AI Inference” was published by researchers at Northeastern ...
Learn about the most prominent types of modern neural networks such as feedforward, recurrent, convolutional, and transformer networks, and their use cases in modern AI. Neural networks are the ...
Researchers have employed Bayesian neural network approaches to evaluate the distributions of independent and cumulative ...
“Neural networks are currently the most powerful tools in artificial intelligence,” said Sebastian Wetzel, a researcher at the Perimeter Institute for Theoretical Physics. “When we scale them up to ...
To study how a key chemical neuromodulator affects signaling in the brain's cortex, Garrett Neske, PhD, has received a three-year, $300,000 grant from the Whitehall Foundation, a nonprofit ...
A team of researchers at Penn State have devised a new, streamlined approach to designing metasurfaces, a class of engineered ...