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 are training neural networks to make decisions more like humans would. This science of human decision-making is only just being applied to machine learning, but developing a neural network ...

Memory resistors, or memristors for short, are a unique form of circuitry that resemble the neural pathways of the human brain and improve as additional current that passes through them, much like the ...

Google's Brain team taught neural networks built on machine learning to create their own form of encryption. A research paper explains how. The paper, written by Martín Abadi and David G. Andersen, ...

Researchers have devised a way to make computer vision systems more efficient by building networks out of computer chips’ logic gates. Networks programmed directly into computer chip hardware can ...

The 2024 Nobel Prize in Physics has been awarded to scientists John Hopfield and Geoffrey Hinton “for foundational discoveries and inventions that enable machine learning with artificial neural ...