A few months ago, I awoke to find a streak spanning the length of my kitchen wall that looked like it had been drawn there ...

Elon Musk isn't a fan of X's algorithm, so he's documenting the company's efforts to improve the tech that decides what you ...

Know how this new standard connects AI to data context, reducing hallucinations and enabling smarter decision-making.

With the wide application of UAVs in modern operations, efficient cooperative task assignment of heterogeneous UAVs under complex constraints has ...

Discover how AI is revolutionizing veterinary radiology, and learn how algorithms support specialists for faster, more ...

New research shows that advances in technology could help make future supercomputers far more energy efficient. Neuromorphic computers are modeled after the structure of the human brain, and researche ...

A gold superconducting quantum computer hangs against a black background. Quantum computers, like the one shown here, could someday allow chemists to solve problems that classical computers can’t.

Neuromorphic computers, inspired by the architecture of the human brain, are proving surprisingly adept at solving complex mathematical problems that underpin scientific and engineering challenges.

The relentless advancement of artificial intelligence (AI) across sectors such as healthcare, the automotive industry, and social media necessitates the development of more efficient hardware ...

Abstract: In this work, to address the fixed step-size problem of the widely linear complex-valued affine projection algorithm (WL-CAPA), we propose a sliding-window step-size (SWSS) selection scheme, ...

Abstract: Currently, adaptive filtering algorithms have been widely applied in frequency estimation for power systems. However, research on diffusion tasks remains insufficient. Existing diffusion ...