Researchers have created a thin transparent neural implant that can monitor activity on the brain's surface but also account for functions at a deeper level. The hope is that it will lead to an ...

Three Spanish researchers have discovered that bilinguals use different neural networks to read languages that are pronounced as they are written - such as the Basque language - from those in which ...

(a) Schematic diagram of a biological neural network and (b) circuit schematic of an artificial neural network implemented in hardware using an artificial neuromorphic device. (c) Experimental results ...

A project at the University of California, San Diego has developed a transparent neural implant intended to sit on the surface of the brain and record neural activity deeper inside. Published in ...

The simplified approach makes it easier to see how neural networks produce the outputs they do. A tweak to the way artificial neurons work in neural networks could make AIs easier to decipher.

In order for large-scale artificial neural network hardware to become practical in the future, it is essential to integrate artificial neuron and synaptic devices, and it is necessary to reduce mass ...

(A) A traditional fully connected neural network. The layers are connected by black lines corresponding to weights. The neurons separately realize the summation and nonlinear activation functions ...

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 ...

The growing energy use of AI has gotten a lot of people working on ways to make it less power hungry. One option is to develop processors that are a better match to the sort of computational needs of ...