Leading global consultancy Kearney, in partnership with the World Economic Forum, has today published a new report highlighting the rapid evolution of advanc ...

A Sparse Cross Attention-Based Graph Convolution Network With Auxiliary Information Awareness for Traffic Flow Prediction Abstract: Deep graph convolutional networks (GCNs) have shown promising ...

Accurate traffic flow measurement is essential for the development of smart cities, yet the deployment of ubiquitous monitoring sensors using traditional methods is often cost-prohibitive. This ...

Our implementation supports arbitrary multi-dimensional sparsity in all input and output tensors. We avoid cumbersome machine-generated code by implementing all functionality as a high-level symbolic ...

Tensor ProducT ATTenTion (TPA) Transformer (T6) is a state-of-the-art transformer model that leverages Tensor Product Attention (TPA) mechanisms to enhance performance and reduce KV cache size. This ...

Optical Flow implementation in OpenCV Optical flow refers to the process of determining the movement of each pixel between two successive frames in a video. Essentially, it involves computing the ...

RETURN TO ISSUE Viewpoint NEXT Cross-Flow Treatment of PFAS in Water: Materials Challenges and Potential Solutions Mallikarjuna N. Nadagouda* ...