Deep neural networks are revolutionizing how images and video are processed, enabling applications once thought impossible.

In this first in a series on convolutional neural networks (CNNs), we discuss the advantages of CNNs vs. classic linear programming describe the CNN ...

Convolutional Neural Networks for MNIST Data Using PyTorch Dr. James McCaffrey of Microsoft Research details the "Hello World" of image classification: a convolutional neural network (CNN) applied to ...

This self-supervised robotic system autonomously maps semiconductor properties, completing over 125 precise measurements per ...

Scientists have revealed that Convolutional Neural Networks (CNNs), a type of deep learning algorithm, demonstrate superior performance compared to conventional non-machine learning approaches when ...

Deep learning has emerged as the dominant driver of anti-spoofing accuracy. Techniques like MobileFaceNet integrated with ...

Researchers have unveiled the All-Topographic Neural Network (All-TNN), a new AI vision model type that mimics human brain ...

Steven Brightfield, Chief Marketing Officer at BrainChip, about neuromorphic computing and its Akida spiking neural network (SNN) platform. This includes chips like the Akida AKD1000 (Fig. 1) as well ...