Morning Overview on MSN

Thermodynamic computer mimics AI image generation using a fraction of the energy

Stephen Whitelam, a researcher whose work spans thermodynamic theory and machine learning, has described a framework for ...
AZoM on MSN

Polymer blends and alloys: The science of compatibility

Most polymers don’t mix—and that’s the point. Polymer alloys succeed by engineering the interface: use thermodynamics to ...
The New York Times

This A.I. Tool Is Going Viral. Five Ways People Are Using It.

Claude Code generates computer code when people type prompts, so those with no coding experience can create their own programs and apps. By Natallie Rocha Reporting from San Francisco Claude Code, an ...
GitHub

Traffic Light Timing Optimization Using Genetic Algorithms in SUMO

Efficient traffic signal control is crucial for reducing congestion and improving vehicle flow in urban areas. This project implements a Genetic Algorithm (GA) to optimize traffic light timings using ...
Frontiers

A novel interpretable and real-time dengue prediction framework using clinical blood parameters with genetic and GAN-based optimization

Dengue remains a significant and critical global health concern, especially in resource-constrained and remote regions, where traditional IgG/IgM-based testing is often delayed or not conducted ...
Scientific Research Publishing

Enhanced Liver Tumor Detection in CT Images Using 3D U-Net and Bat Algorithm for Hyperparameter Optimization ()

1 Department of Mathematics and Statistics, Loyola University Chicago, Chicago, IL, USA. 2 Department of Mathematics and Computer Science, Islamic Azad University, Science and Research Branch, Tehran, ...
IEEE

Safety-Prioritized Optimization of Asteroid Sample Site Selection Using Genetic Algorithm and Variable Neighborhood Tabu Search

Abstract: Sample site selection is crucial for asteroid sample return missions, requiring a strategy that considers factors such as terrain and illumination for mission safety. However, the lack of ...
EurekAlert!

Using AI to identify genetic perturbations from cell images

Researchers at the Paul Scherrer Institute PSI have developed an AI that could open up a new, cost-effective approach to identifying genetic perturbation patterns in cell images – potentially enabling ...