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 ...

Neuroscientists have been trying to understand how the brain processes visual information for over a century. The development of computational models inspired by the brain's layered organization, also ...

Researchers use large language models to streamline nanoscopic material design for advanced optical systems like camera ...

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.

MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, released learnable quantum spectral filter technology for hybrid graph neural networks. This ...

A team of researchers at Penn State have devised a new, streamlined approach to design metasurfaces, a class of engineered ...

In this video, we will understand forward propagation and backward propagation. Forward propagation and backward propagation ...

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 ...

Artificial intelligence moves fast, so the first step in understanding it — and its role in science — is to know the lingo. From basic concepts like “neural networks” and “pretraining” to more ...