At The Next FPGA Platform event in January there were several conversations about what roles reconfigurable hardware will play in the future of deep learning. While inference was definitely the target ...
Graph Neural Networks (GNN) drive high demand for compute and memory performance. Software-only based GNN algorithm processing is insufficient to run these workloads. Learn how FPGA-based hardware ...
Applications on the network edge where data is collected require power-efficient solutions. Through its Smart Embedded Vision initiative, Microchip Technology is making it easier for software ...
After three years of research into how it might accelerate its Bing search engine using field programmable gate arrays (FPGAs), Microsoft came up with a scheme that would let it lash Stratix V devices ...
CHANDLER, Ariz., May 18, 2020 (GLOBE NEWSWIRE) -- With the rise of Artificial Intelligence (AI), Machine Learning (ML) and the Internet of Things (IoT), applications are moving to the network edge ...