A digital innovation initiative about fault anomalies has been selected as one of the first projects for the new Microsoft AI ...

Researchers have used machine learning to dramatically speed up the processing time when simulating galaxy evolution coupled with supernova explosion. This approach could help us understand the ...

We develop a novel deep learning framework to achieve highly accurate machine fault diagnosis using transfer learning to enable and accelerate the training of deep neural network. Compared with ...

PS5 Pro upgrades this year? Future consoles, PCs and the cloud? I learned all about Project Amethyst and what it means for ...

Anomalies could be the threats to the network that have ever/never happened. To protect networks against malicious access is always challenging even though it has been studied for a long time. Due to ...

The Mu small language model enables an AI agent to take action on hundreds of system settings. It’s now in preview for some ...

Star 167 Code Issues Pull requests [ICLR 2021] HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients deep-learning model-compression ...

Designing, building, and applying new technologies—especially those that include artificial intelligence—can be a double-edged sword: powerful and enabling on the one hand, but potentially biased and ...

SchNetPack is a toolbox for the development and application of deep neural networks to the prediction of potential energy surfaces and other quantum-chemical properties of molecules and materials. It ...