Abstract: Hardware implementation of neural networks (NNs) is challenging due to varying application requirements. This often necessitates creating specific field programmable gate arrays (FPGAs) ...

The field of AI is notoriously filled with jargon. To better understand what is going on, here is a series of explainers, ...

The ability to predict outcomes and trends can mean the difference between thriving and merely surviving. Enter artificial ...

Abstract: Advances in Graph Neural Networks (GNNs) have substantially enhanced Vehicular Networks (VNs ... followed by the detailed summarization and categorization of current GNN backdoors and ...

MicroAlgo Inc. (the "Company" or "MicroAlgo") (NASDAQ: MLGO), today announced that their research team has used quantum neural networks to classify and extract features from data in databases, ...

NVIDIA and Microsoft announced a partnership to bring RTX Neural Shaders to a DirectX preview in April. Here's what you need ...

A New Type Of Computing With the last few years of exponential progress in AI technology, major winners have been the ...

You can create a release to package software, along with release notes and links to binary files, for other people to use. Learn more about releases in our docs.

Guo-Xing Miao, Professor at the University of Waterloo, guides us through programmable iontronic neural networks ...

Physics-informed neural networks were tested for their capabilities in predicting concentration profiles in gradient liquid ...

Predict dynamic behaviors in a physics system in a way that's computationally efficient and adaptable to a range of scenarios.