Abstract: Deep learning (DL) has revolutionized image processing, particularly image detection of deepfakes, which have become harder and harder to distinguish due to generative model improvements.

Physics-aware machine learning integrates domain-specific physical knowledge into machine learning models, leading to the development of physics-informed neural networks (PINNs). PINNs embed physical ...

Claude Code generates computer code when people type prompts, so those with no coding experience can create their own programs and apps. By Natallie Rocha Reporting from San Francisco Claude Code, an ...

Abstract: Using a deep neural network to detect a subpixel target in hyperspectral imaging is a difficult problem in remote sensing. The problem is caused by having only one full target pixel for ...

ABSTRACT: Intracranial hemorrhage (ICH) is a critical subtype of stroke that arises from bleeding within the brain and often leads to severe neurological damage or death if not diagnosed at an early ...

1 School of Electronic Information and Artificial Intelligence, Leshan Normal University, Leshan, China. 2 Sichuan Prefabricated Cabin Power Equipment Engineering Technology Research Center, Leshan, ...

Reproductive toxicity is a concern critical to human health and chemical safety assessment. Recently, the U.S. Food and Drug Administration announced plans to assess toxicity with artificial ...

Computational systems have to learn when and how they should exert control over their actions. How do agents learn to solve this “metacontrol” problem? Here, we created a task that externalizes this ...