Abstract: Deep learning has demonstrated significant potential in the field of array processing. Sparse array reconfigurability can play a vital role in cognitive sensing within dynamic radio ...

As artificial intelligence becomes more mainstream, the Pima County Sheriff’s Department is looking at how it can use the emerging technology. At the beginning of the year, deputies began a trial of ...

Abstract: Sparse Matrix-Matrix Multiplication (SpMM) is a widely used algorithm in Machine Learning, particularly in the increasingly popular Graph Neural Networks (GNNs). SpMM is an essential ...

The Trump administration had tried to eviscerate climate offices before the shutdown. Now, the cuts are deeper. The government shutdown has sent uneven shock waves through Washington. Many ...

Currently many operations in wp.sparse modify the end matrix topology, using CUB-backed reductions that require temporary storage allocations under the hood. As a result, then cannot be captured in ...