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 ...

If Christopher Nolan's sci-fi movie Interstellar has you wanting more emotional sci-fi journeys, here's an assortment of ...

Over the past decade, the world of investing has been infiltrated by algorithms, machine learning engines and robo-advisors. In 2025, these tools are no longer niche curiosities and have become ...

Nonlinear optical (NLO) materials play a vital role in modern photonic technology, driving advancements in applications such ...

HOUSTON -- Two commonly used kidney function tests had a large degree of disagreement and were linked with serious health ...

The authors used a Bayesian modeling framework to fit behavior and serotonin neuron activity to reward history across multiple timescales. A key goal was to distinguish value coding from other ...

This study offers a valuable advance for neuroscience by extending a visualization tool that enables intuitive assessment of how dendritic and synaptic currents shape the output of neurons. The ...

These questions come from my Udemy training and the certificationexams.pro website, resources that have helped many students pass the DP-100 certification. These are not DP-100 exam dumps or ...

Insulin resistance severity measured via eGDR enhanced the predictive value of clinical models for cardiovascular disease risk in CKM syndrome.

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.