A new technical paper titled “Massively parallel and universal approximation of nonlinear functions using diffractive processors” was published by researchers at UCLA. “Nonlinear computation is ...

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

Decades of research has viewed DNA as a sequence-based instruction manual; yet every cell in the body shares the same genes – so where is the language that writes the memory of cell identities?

Abstract: The affinity graph is regarded as a mathematical representation of the local manifold structure. The performance of locality-preserving projections (LPPs) and its variants is tied to the ...

STG-DMD (Sparse-Coded Time-Delay Graph Dynamic Mode Decomposition) is a data-driven framework for modeling nonlinear dynamics on graph structures. It integrates: StgDmd/ ├── code/ │ ├── artificial/ │ ...

A research team led by SUTD has created nanoscale glass structures with near-perfect reflectance, overturning long-held assumptions about what low-index materials can do in photonics. For decades, ...

Math fans can now spin, zoom, and explore complex equations in full 3D right on their iPad with iPadOS 26. Here's what it looks like. With iPadOS 26, Apple is introducing interactive 3D graphing in ...

While 3D printing is indeed a burgeoning technology, it's limited by the fact that items can typically only be printed from a single material. A new system still uses just one print resin, but that ...

Human-machine interaction and computational neuroscience have brought unprecedented application prospects to the field of medical rehabilitation, especially for the elderly population, where the ...

Activation functions play a critical role in AI inference, helping to ferret out nonlinear behaviors in AI models. This makes them an integral part of any neural network, but nonlinear functions can ...