A new technical paper titled “Massively parallel and universal approximation of nonlinear functions using diffractive ...

Researchers at the University of California, Los Angeles (UCLA) have developed an optical computing framework that performs ...

Her exhibition at NIKA Project Space in Paris turns impermanence into an act of creation and disappearance into a quiet form ...

Mark Z. Danielewski is no stranger to hard work. The best-selling novelist behind such critically well-received works as ...

Explore how artificial intelligence and digital innovations are transforming sludge dewatering in wastewater systems, ...

The study presents important insights into the regulation of muscle hypertrophy, regulated by Muscle Ankyrin Repeat Proteins (MARPs) and mTOR. The methods are overall solid and complementary, with ...

Abstract: In recent years, there has been a growing interest in graph signal processing due to its capability to model and analyze irregular data generated by wireless sensor networks (WSNs).

To unlock AI’s full potential, businesses must know when it fits—and when it doesn’t. Tech experts share how to focus AI ...

Cell movement is an essential biological process, whether it's cancer cells metastasizing to other parts of the body or ...

One of the most common genetic diseases, AATD, involves the retention of misfolded alpha 1 antitrypsin (AAT) in hepatocytes, ...

This paper introduces a novel AI-enhanced retirement planning platform that integrates behavioral economics principles with advanced machine learning techniques to optimize financial decision-making.