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

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 ...

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

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

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

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

USC and UCLA researchers have created a wireless device that uses AI to decode pain levels from brain activity and customize ...

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

AI is helping farmers automate weed control and create custom tools as they navigate industry challenges and sustainability goals.

While artificial intelligence (AI) holds promise to improve the diagnosis of melanoma, researchers of a new review outlined ...

Applied Analytics professor Siddhartha Dalal discusses the impacts of applied technologies on real-life risk management.