The model’s release comes five years after DeepMind introduced its seminal AlphaFold neural network. The latter algorithm can ...

Across the physical world, many intricate structures form via symmetry breaking. When a system with inherent symmetry ...

For example, a Convolutional Neural Network (CNN) trained on thousands of radar echoes can recognize the unique spatial signature of a small metallic fragment, even when its signal is partially masked ...

Researchers at Chungnam National University have developed a deep learning method that predicts stable defect configurations in nematic liquid crystals in milliseconds rather than hours. This rapid ...

Accurate segmentation of medical images is essential for clinical decision-making, and deep learning techniques have shown remarkable results in this area. However, existing segmentation models that ...

An AI-powered model that analyzes electrocardiograms was able to accurately detect COPD early in internal testing and ...

Artificial intelligence (AI) electrocardiogram (ECG) data are promising for early detection of chronic obstructive pulmonary disease (COPD).