Blending ‘old-fashioned’ logic systems with the neural networks that power large language models is one of the hottest trends ...

The Defense Advanced Research Projects Agency awarded Professor Jie Gu and co-PIs from the University of Minnesota and Duke University up to $3.8 million through the Scalable Analog Neural-networks ...

Information Theory Meets Deep Neural Networks: Theory and Applications. The previous volume can be viewed here: Volume I Deep Neural Networks (DNNs) have become one of the most popular research ...

Machine learning models called convolutional neural networks (CNNs) power technologies like image recognition and language ...

Photons are fast, stable, and easy to manipulate on chips, making photonic systems a promising platform for QCNNs. However, ...

This year, competition participants created a service for detecting chest pathologies in CT scans, a smart map of the water supply network and a program that detects damage to trees and shrubs online.

Dr. James McCaffrey of Microsoft Research details the "Hello World" of image classification: a convolutional neural network (CNN) applied to the MNIST digits dataset. The "Hello World" of image ...

Penn State has a new cross-disciplinary program to train graduate students interested in the complex landscape of the human brain, supported by a $1.5 million grant from the National Institutes of ...

The Department of Energy will open up its data sets and equipment to outside researchers looking to tinker with AI tools.