New physics-based machine-learning method speeds search for 2D quantum materials

Researchers at The University of Manchester have developed a new computational approach to help identify two-dimensional ...

How Pano and Sonia Kastner A Using AI To Stop Wildfires Across America

Pano AI is revolutionizing wildfire detection with AI-powered cameras and human oversight, protecting communities across 17 ...
IEEE

A Hybrid Deep Multistacking Integrated Model for Plant Disease Detection

Abstract: Plant disease detection is a critical challenge in agriculture, as undetected or poorly managed diseases can lead to significant yield losses, economic setbacks for farmers, and compromised ...

Study compares machine learning models of raindrop formation

Raindrops form inside clouds when tiny particles of water collide and stick together, forming larger droplets that eventually ...
Frontiers

AI-Driven Forensic Science: Decoding Complex Chemical and Biological Mixtures with Advanced Models

Forensic science plays a vital role in identifying, characterizing, and quantifying physical and biological traces recovered from crime scenes — a task that ...
Technology Networks

The New Technologies That Could Make Our Food Safer

Advances in analytical chemistry are improving food safety. From mass spectrometry to machine learning and biosensors, ...
IEEE

Learn From Examples: In-Context Learning for Camouflaged Object Detection

Abstract: Recently, new paradigms of camouflaged object detection (COD), such as referring COD (Ref-COD) and collaborative COD (Co-COD), have been proposed to enhance task performance. However, there ...
cleanfleetreport.co on MSN

The world in a point cloud: LiDAR’s quiet revolution

An internal argument is brewing throughout the auto world over the ultimate approach for autonomous driving: should ...
Journal of Medical Internet Research

Prediction of Moderate-to-Severe Sepsis-Associated Acute Kidney Injury Using a Dual-Timepoint Machine Learning Model: Development, Multiregional Validation, and Clinical ...

Based on clinical data from the first 24 hours of ICU admission, we used a two-stage feature selection process combining light gradient boosting machine (LightGBM) and Shapley additive explanation ...