Researchers at Shanghai University have developed a physics-constrained, data-efficient artificial intelligence framework ...
What can you do about data sparsity? What do you do when you have a matrix with a bunch of zeros in it, and you can't get a good look at a complex system because so many of the nodes are empty? Matrix ...
A machine-learning approach developed for sparse data reliably predicts fault slip in laboratory earthquakes and could be key to predicting fault slip and potentially earthquakes in the field. A ...
Abstract: Structured sparsity has been proposed as an efficient way to prune the complexity of Machine Learning (ML) applications and to simplify the handling of sparse data in hardware. Accelerating ...
Privacy-Preserving Sparse Traffic Flow Prediction in IIoT: A Three-Tier Federated Learning Framework
Abstract: Traffic flow prediction, as a typical application of Industrial Internet of Things (IIoT) in urban infrastructure, faces critical security challenges. Existing privacy-preserving methods in ...
Last week, Intel held its first "architecture day" event since 2018, during which it gave details about forthcoming chips, such as Tiger Lake. ZDNet, which attended a pre-briefing with Intel, asked ...
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