Tech Xplore on MSN

Optical system uses diffractive processors to achieve large-scale nonlinear computation

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

Massively parallel implementation of nonlinear functions using an optical processor

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

Asymmetric neural entrainment at resonance frequencies underlies unilateral spatial neglect

This valuable study uses EEG and computational modeling to investigate hemispheric oscillatory asymmetries in unilateral spatial neglect. The work benefits from rare patient data and a careful ...
The Business & Financial Times on MSN

National development planning (2): Beneath-ground vs Above-ground resources

By Dela EVANS Ghana’s development strategy hinges on a dual resource framework: finite extractive assets below ground, and renewable human and ecological assets above. Beneath-ground ...
Investopedia

Understanding Normal Distribution: Key Concepts and Financial Uses

James Chen, CMT is an expert trader, investment adviser, and global market strategist. Khadija Khartit is a strategy, investment, and funding expert, and an educator of fintech and strategic finance ...
IEEE

A Six-Axis FBG Force/Moment Sensor With Nonlinear Decoupling and Fault Tolerance for Laparoscopic Instruments

Abstract: In this article, a six-axis fiber Bragg grating (FBG) force/moment (F/M) sensor is created and integrated into laparoscopic forceps to retrieve interactive force feedback for surgery. This ...
Investopedia

Active Investing Explained: Explore Strategies, Benefits, and Drawbacks

James Chen, CMT is an expert trader, investment adviser, and global market strategist. Gordon Scott has been an active investor and technical analyst or 20+ years. He is a Chartered Market Technician ...
AZoOptics

Low-Dimensional Materials in Nonlinear Optics

Advancements in nonlinear optics using 2D materials are transforming photonic devices, offering enhanced performance and ...
IEEE

Graph Linear Convolution Pooling for Learning in Incomplete High-Dimensional Data

Abstract: High-dimensional and incomplete (HDI) data are frequently encountered in diverse real-world applications involving complex interactions among numerous nodes. Approaches based on latent ...
GitHub

Nonlinear Locality-Preserving Projections With Dynamic Graph Learning

This repo hosts the code for paper "Nonlinear Locality-Preserving Projections With Dynamic Graph Learning, in TNNLS-2025". The proposed method addresses two main limitations: first, the pre-designed ...