In the era of A.I. agents, many Silicon Valley programmers are now barely programming. Instead, what they’re doing is deeply, deeply weird. Credit...Illustration by Pablo Delcan and Danielle Del Plato ...

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.

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 ...

The significant contributions of this work are threefold. First, it leverages deep learning to extend in vivo imaging depth of two-photon excitation fluorescence microscopy, far beyond the depths ...