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

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

By studying the theoretical limits of how light can be used to perform computation, Cornell researchers have uncovered new ...

AI-assisted signal debugging has broad impact across many domains.

The Navier–Stokes partial differential equation was developed in the early 19th century by Claude-Louis Navier and George ...

Envariax represents the next generation of algorithmic trading innovation — a technology-driven model built to analyze vast ...

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

Imagine walking into a factory where machines can think ahead, predict problems before it happens, and automatically make adjustments to realise peak performance. By Johan Potgieter, cluster ...

Recently, a research team from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences has developed a ...

This important study describes a deep learning framework that analyzes single-cell RNA data to identify a tumor-agnostic gene signature associated with brain metastases. The identified signature ...