AI-designed diffractive optical processors pave the way for low-power structural health monitoring

A team of researchers at the University of California, Los Angeles (UCLA) has introduced a novel framework for monitoring ...
Frontiers

Causal Digital Twin of Periodontal Healing: Personalized Prediction of Low-Level Laser Therapy Benefits Using a Tooth-Graph ODE Transformer in a Single-Center Retrospective ...

The final, formatted version of the article will be published soon. Background: Adjunctive low-level laser therapy (LLLT) is proposed to improve periodontal healing post-SRP, but results are ...

AI Design Copilots Reduce Time-To-Market For Physical Design

Neural Concept is helping launch products at 2X the speed. It does this by capturing past knowledge into AI-based ...
Ars Technica

Researchers isolate memorization from problem-solving in AI neural networks

When engineers build AI language models like GPT-5 from training data, at least two major processing features emerge: memorization (reciting exact text they’ve seen before, like famous quotes or ...
Frontiers

Universal differential equations as a unifying modeling language for neuroscience

The rapid growth of large-scale neuroscience datasets has spurred diverse modeling strategies, ranging from mechanistic models grounded in biophysics, to phenomenological descriptions of neural ...
IEEE

A Data-Driven Neural Network Applied to Solving Maxwell’s Equations: A novel Fourier neural operator approach

Abstract: The Fourier Neural Operator (FNO), a recently proposed neural network designed for solving partial differential equations (PDEs), is being explored to accelerate electromagnetic (EM) ...
IEEE

A Complex-Valued Neural Operator for Solving 2-D Wave Equations Based on Graph Neural Networks

Abstract: In this work, we propose a complex-valued neural operator (CV-NeuralOp) based on graph neural networks (GNNs) to solve 2-D wave equations. Inspired by Green’s function method for solving ...
GitHub

pde-solving

This repository contains Jupyter notebooks from my learning journey with Physics-Informed Neural Networks (PINNs). These are not complete projects but serve as educational resources to explore core ...
Ars Technica

How a grad student got LHC data to play nice with quantum interference

Measurements at the Large Hadron Collider have been stymied by one of the most central phenomena of the quantum world. But now, a young researcher has championed a new method to solve the problem ...