Semiconductor Engineering

Convolutional Neural Networks: Co-Design of Hardware Architecture and Compression Algorithm

“Over the past decade, deep-learning-based representations have demonstrated remarkable performance in academia and industry. The learning capability of convolutional neural networks (CNNs) originates ...
Semiconductor Engineering

Absence of Barren Plateaus in Quantum Convolutional Neural Networks

Proof of the absence of barren plateaus for a special type of quantum neural network. The work provides trainability guarantees for this architecture, meaning that one can generically train its ...
abc27

WiMi Studies Quantum Dilated Convolutional Neural Network Architecture

BEIJING, Oct. 13, 2025 /PRNewswire/ -- WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, today announced that ...
Time

Convolutional Neural Networks (CNNs)

This article is published by AllBusiness.com, a partner of TIME. A Convolutional Neural Network (CNN) represents a sophisticated advancement in artificial intelligence technology, specifically ...
EurekAlert!

All-optical computing based on convolutional neural networks

image: All-optical transcendental equation solver. (A) schematic diagram of the all-optical transcendental equation solver. (B) Top-view SEM image of the all-optical transcendental equation solver, ...
The Next Web

Need to find the best AI model for your problem? Try neural architecture search

Deep neural networks have a huge advantage: They replace “feature engineering”—a difficult and arduous part of the classic machine learning cycle—with an end-to-end process that automatically learns ...
The Next Web

Here’s how deep learning helps computers detect objects

Deep neural networks have gained fame for their capability to process visual information. And in the past few years, they have become a key component of many computer vision applications. Among the ...