IEEE

An Efficient FPGA Implementation of Spiking Neural Networks for N-MNIST Classification

Spiking Neural Networks (SNNs) have emerged as a promising alternative to conventional Artificial Neural Networks (ANNs) due to their event-driven computation and potential for low-power processing.
The Next Platform

OpenAI, Microsoft And Friends Build A Better, More Scalable Ethernet

Sometimes, to solve a particular system architecture problem, you have to invent a new technology. And sometimes, you just need to squint at the problem a little and look at what you already have and ...
TASS

Russia develops neural network algorithms for low-level air defense anti-drone system

The Arkodim company specified that the neural network analysis and tracking algorithms calculate ballistics and ensure reliable target tracking even during brief loss of visual contact MOSCOW, May 12.
IEEE

An Adaptive Gradient Recurrent Neural Network for Dynamic Quadratic Programming and Its FPGA Implementation

Abstract: Dynamic quadratic programming (DQP) widely exists in many optimization applications. Existing recurrent neural networks (RNNs) exhibit significant limitations in solving DQP, including ...