AI workflows fundamentally depend on real-time data movement: ingesting training data streams, feeding live data to models for inference and distributing predictions back to applications. But strip ...

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

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

UCLA researchers demonstrate diffractive optical processors as universal nonlinear function approximators using linear ...

Finance requires architecture specifically designed for parallel processing, composable primitives, and institutional ...

Since 1982, RCR Wireless News has been providing wireless and mobile industry news, insights, and analysis to mobile and wireless industry professionals, decision makers, policy makers, analysts and ...

No matter the circumstances of abuse, be it physical, emotional, or mental, its long-lasting effects on the human psyche can manifest itself in similar and often disruptive ways. Such is the case in ...

Introduction: Structural magnetic resonance imaging (sMRI) is an important tool for the early diagnosis of Alzheimer's disease (AD). Previous methods based on voxel, region of interests (ROIs) or ...

A novel parallel computing framework for chemical process simulation has been proposed by researchers from the East China University of Science and Technology and the University of Sheffield. This ...

Vivet Technology's Repeating Layer Process (RLP) replaces traditional sequential assembly lines with simultaneous production steps, eliminating bottlenecks and enabling manufacturers to scale capacity ...

A new technical paper titled “Augmenting Von Neumann’s Architecture for an Intelligent Future” was published by researchers at TU Munich and Pace University. “This work presents a novel computer ...