Helix, the AI brain powering Figure’s humanoid robots, has been upgraded to its most ...

The brains of humans and other primates are known to execute various sophisticated functions, one of which is the representation of the space immediately surrounding the body. This area, also ...

Neural implants contain integrated circuits (ICs)—commonly called chips—built on silicon. These implants need to be small and ...

Roberto F. Galán, assistant professor in the Department of Electrical Engineering and Computer Science, and Ken Loparo, the Nord Professor of Engineering, will present “Making Sense Out of Noise in ...

Principal Research Fellow at AI and Cyber Futures Institute, Charles Sturt University Optical illusions, quantum mechanics and neural networks might seem to be quite unrelated topics at first glance.

“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 ...

An MIT spinoff co-founded by robotics luminary Daniela Rus aims to build general-purpose AI systems powered by a relatively new type of AI model called a liquid neural network. The spinoff, aptly ...

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 ...