IEEE

Survey on Graph Neural Networks

Graph Neural Networks (GNNs) have become a powerful tool in order to learn from graph-structured data. Their ability to capture complex relationships and dependencies within graph structures, allows ...
IEEE

Efficient Deep Neural Network Training With a Novel 5.3-Bit Block Floating Point Data Format

Abstract: Low-bit-width data formats offer a promising solution for enhancing the energy efficiency of Deep Neural Network (DNN) training accelerators. In this work, we introduce a novel 5.3-bit data ...
24/7 Wall St

Here Are Friday’s Top Wall Street Analysts Research Calls: Advanced Micro Devices, Block, Broadcom, Exact Sciences, Hologic, Palo Alto Networks and More

This post may contain links from our sponsors and affiliates, and Flywheel Publishing may receive compensation for actions taken through them. The futures are trading higher as we get ready to close ...
GitHub

nch-clickcharts-network-diagrams

This repository offers a comprehensive collection of official resources, detailed guides, and reference materials for NCH ClickCharts Pro on Windows PCs, supporting users with clear documentation and ...