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

No programming is necessary; we do not need a software upgrade, just because we want to learn to ride a bicycle. Artificial neural networks are inspired by the early models of sensory processing ...

This article establishes a neural network-based technique for automatic peak picking in 2D NMR spectroscopy, demonstrating a ...

Everyone and their dog is getting into AI, but Red Hat has serious plans, and acquiring Neural Magic will help bring them to ...

[Ramin Hasani] and colleague [Mathias Lechner] have been working with a new type of Artificial Neural Network called Liquid Neural Networks, and presented some of the exciting results at a recent ...

Learn More A new neural-network architecture developed by researchers at Google might solve one of the great challenges for large language models (LLMs): extending their memory at inference time ...

Microsoft recently announced what could be the next major development in the history of DirectX. The High-Level Shader ...

Artificial Neural Networks (ANNs) are commonly used for machine vision purposes, where they are tasked with object recognition. This is accomplished by taking a multi-layer network and using a ...