Semiconductor Engineering

Performance Metrics For Convolutional Neural Network Accelerators

Across the industry, there are few benchmarks that customers and potential end users can employ to evaluate an inference acceleration solution end-to-end. Early on in this space, the performance of an ...
Yahoo Finance

MicroAlgo Inc. Develops Quantum Convolutional Neural Network (QCNN) Architecture to Enhance the Performance of Traditional Computer Vision Tasks Using Quantum Mechanics Principles

SHENZHEN, China, May 12, 2025 /PRNewswire/ -- MicroAlgo Inc. (the "Company" or "MicroAlgo") (NASDAQ: MLGO), they announced today their research on quantum visual computing, exploring the integration ...
insideHPC

A Survey of FPGA-based Accelerators for Convolutional Neural Networks

Deep convolutional neural networks (CNNs) have recently shown very high accuracy in a wide range of cognitive tasks and due to this, they have received significant interest from tnewhe researchers.
Nature

Convolutional Codes and Decoding Algorithms

Convolutional codes represent a cornerstone in modern communications, offering a method for continuously encoding data streams to mitigate errors due to interference and noise. These codes operate by ...