A five-year-old doesn’t need to “learn AI.” But they do need to learn how the world around them thinks. And today, the world ...

For decades, the standard approach to orthodontic treatment has relied heavily on an analog, reactive methodology. Patients endure uncomfortable physical impressions ...

A decade ago, Hassabis's lifelong enduring love of play and AI led to AlphaGo beating the world's deepest board game. The ...

The rise of AI has brought an avalanche of new terms and slang. Here is a glossary with definitions of some of the most ...

Abstract: High-resolution leaf area index (LAI) retrieval is crucial for ecological and agricultural applications, yet it remains challenging due to the enhanced spatial heterogeneity and limited ...

Deep learning is a subset of machine learning that uses multi-layer neural networks to find patterns in complex, unstructured data like images, text, and audio. What sets deep learning apart is its ...

AI systems are far better than people at spotting deepfake images, but when it comes to deepfake videos, humans may still have the edge. That’s the surprising twist from a new study that pits people ...

A total of 17.9 million people were estimated to be living with rheumatoid arthritis globally in 2021, representing a 13.2% increase in incidence since 1990. The global burden of rheumatoid arthritis ...

The original version of this story appeared in Quanta Magazine. Imagine a town with two widget merchants. Customers prefer cheaper widgets, so the merchants must compete to set the lowest price.

Background and Aims: Obstructive coronary artery disease (CAD) can lead to myocardial infarction or cardiac death. The accuracy of conventional risk prediction models is limited, leading to excessive ...

Abstract: We introduce a fully unsupervised framework designed to reconstruct X-ray CT images from truncated projections without requiring prior truncation correction. By incorporating a Radon ...