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

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

The main difference between convolutional neural networks and other types of networks is the way in which they process data. Through filtering, the input data are successively examined for their ...

A convolutional layer is defined by number of input and output values but also a kernel value. Loosely speaking, the kernel value controls how many pixels to look at as a group. The demo convolutional ...

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

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 ...

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 ...