Electronics Weekly

FPGA-based neural network accelerator outperforms GPUs

Xilinx Developer Forum: Claimed to be the highest performance convolutional neural network (CNN) on an fpga, Omnitek’s CNN is available now. The deep learning processing unit (DPU) is future-proofed, ...
Electronics Weekly

Neural network accelerators for Lattice FPGAs

Lattice has introduced two hardware artificial intelligence algorithm accelerators for its FPGAs, one for binarised neural networks (BNNs) and one for convolutional neural networks (CNNs). Both are ...
New Electronics

Xilinx selects Mipsology Zebra Software to accelerate Alveo U50 FPGA

Mipsology has announced that its Zebra neural network accelerating software has been integrated into the latest build of Xilinx’s Alveo U50 data centre accelerator card. The card, the industry's first ...
Semiconductor Engineering

CNN Hardware Architecture With Weights Generator Module That Alleviates Impact Of The Memory Wall

A technical paper titled “Mitigating Memory Wall Effects in CNN Engines with On-the-Fly Weights Generation” was published by researchers at Samsung AI Center and University of Cambridge. “The ...
InfoWorld

The most popular neural network styles and how they work

Learn about the most prominent types of modern neural networks such as feedforward, recurrent, convolutional, and transformer networks, and their use cases in modern AI. Neural networks are the ...
New Electronics

QuickLogic unveils enhanced Aurora FPGA/eFPGA user tools

This new version integrates core tool enhancements that improve the eFPGA utilisation and performance of designer's RTL, particularly in the area of reconfigurable computing. The Tool Suite integrates ...