Artificial neural networks have been applied to problems ranging ... classification of cancers and gene prediction. How do they work and what might they be good for? When it comes to tasks other ...

Researchers have devised a way to make computer vision systems more efficient by building networks out of computer chips’ ...

Microsoft is enabling neural rendering in DirectX, opening up the new rendering technique to GPUs from all brands.

Just as GPUs once eclipsed CPUs for AI workloads, Neural Processing Units (NPUs) are set to challenge GPUs by delivering even ...

Researchers applied the mathematical theory of synchronization to clarify how recurrent neural networks (RNNs) generate predictions, revealing a certain map, based on the generalized synchronization, ...

The Spiking Neural Processor T1 is an AI chip that's modeled on the way the brain detects patterns and could extend the ...

In these cases, it can make more sense to create a neural network and train the computer to do the job, as one would a human. On a more basic level, [Gigante] did just that, teaching a neural ...

Neural network models that are able to make decisions or store memories have long captured scientists' imaginations. In these ...

Among the marvels of the human brain is its ability to generalize. We see an object, like a chair, and we know it's a chair, ...

Two new neural network designs promise to make AI models more adaptable and efficient, potentially changing how artificial ...