Researchers developed a hybrid AI approach that can generate realistic images with the same or better quality than state-of-the-art diffusion models, but that runs about nine times faster and uses ...

IntuiCell created a physical AI agent capable of learning autonomously in a manner that mimics a biological nervous system.

Telling the difference between images created by artificial intelligence and those by humans is becoming increasingly ...

Convolutional neural networks have proven effective in detecting such diseases from medical images, achieving high accuracy in identifying tuberculosis from chest X-rays. However, many models are ...

AI is the broader concept of machines being able to perform tasks intelligently, whereas machine learning is a specific subset of AI that focuses on enabling machines to learn from data. In machine ...

Mammograms, with the help of artificial intelligence (AI) models, may reveal much more than cancer, according to a study being presented at the American College of Cardiology’s Annual Scientific ...

A research team has developed a groundbreaking deep learning-based method for analyzing the cytoskeleton -- the structural framework inside cells -- more accurately and efficiently than ever before.

Researchers at UC San Diego have developed advanced deep learning techniques that could revolutionize treatment planning for ...

Artificial intelligence and machine learning are no longer abstract concepts confined to academic discussions but stand at ...

An Osaka Metropolitan University-led research team has developed a deep learning model that uses AI image recognition to ...

A deep-learning algorithm has enabled ultra-low dose CT scans to diagnose pneumonia with only 2% of the radiation of standard ...