ABSTRACT: Bipolar disorder (BD) affects approximately 45 million individuals worldwide and is characterized by recurrent episodes of mania, hypomania, and depression, with an average diagnostic delay ...

description [CVPR 2026][Image Restoration][Compressive Sensing] MambaCS unrolls the classic Proximal Gradient Descent (PGD) algorithm into a U-shaped deep network ...

Gradient descent has a fundamental limitation: on most real-world loss surfaces, it is inefficient. When the surface has uneven curvature—steep in one direction and flat in another, which is common in ...

In this tutorial, we take a deep dive into the TaskTrove dataset on Hugging Face and build a complete, practical workflow to efficiently explore it. Instead of downloading the full multi-gigabyte ...

Frustrated by YouTube feeding him Shorts and advertisements, PewDiePie set out to ‘fix’ the platform’s algorithm with his own AI. YouTube icon Felix ‘PewDiePie’ Kjellberg famously trained his own AI ...

Abstract: A fast gradient-descent (FGD) method is proposed for far-field pattern synthesis of large antenna arrays. Compared with conventional gradient-descent (GD) methods for pattern synthesis where ...

ABSTRACT: Artificial deep neural networks (ADNNs) have become a cornerstone of modern machine learning, but they are not immune to challenges. One of the most significant problems plaguing ADNNs is ...

(TNS) — As some patrol officers in the Twin Cities are starting to use artificial intelligence for composing their reports, the St. Paul Police Department isn’t yet taking the leap to the cutting-edge ...