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

In order to produce effective targeted therapies for cancer, scientists need to isolate the genetic and phenotypic ...

AI vision models have improved dramatically over the past decade. Yet these gains have led to neural networks which, though effective, don’t share many characteristics with human vision. For example, ...

A study published in npj Computational Materials presents a new AI system that uses computer vision and language processing ...

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

A new AI model accurately detected cardiac amyloidosis from echocardiograms with higher accuracy vs. other amyloidosis risk ...

Steven Brightfield, Chief Marketing Officer at BrainChip, about neuromorphic computing and its Akida spiking neural network ...

Scientists have revealed that Convolutional Neural Networks (CNNs), a type of deep learning algorithm, demonstrate superior ...

Four of the 25 most-cited scientific papers of the 21st century were authored or co-authored by University of Toronto ...

Using machine learning and math, a Brigham Young University student improved a key tool firefighters rely on during wildfire ...