For decades, scientists have looked to light as a way to speed up computing. Photonic neural networks—systems that use light instead of electricity to process information—promise faster speeds and ...

Neural networks are the foundation of modern machine learning and AI. ... At a node-internals level, this basic layout is fairly universal to neural nets.

During training, the neural network adjusts the weights of the synapses so that an input produces the desired output. Here, in more detail, is how the process works: The first layer of neurons ...

Aimed at AI/ML applications, Renesas’ RA8P1 MCUs leverage an Arm Ethos-U55 neural processing unit (NPU) delivering 256 GOPS ...

Neural networks are great at fulfilling specific and well-constrained requests, but they can be overeager. Because a neural net's one directive is to produce an answer to a prompt, ...

Inspired by microscopic worms, Liquid AI’s founders developed a more adaptive, less energy-hungry kind of neural network. Now the MIT spin-off is revealing several new ultraefficient models.

Thanks to the neural network, the researchers now suspect, for example, that the black hole at the center of the Milky Way is spinning almost at top speed. Its rotation axis points to Earth.