Interpretable AI in materials discovery: Uncovering how models make predictions

A method to interpret artificial intelligence (AI) models used in materials discovery by analyzing their learned features has been developed by researchers from Japan. The method extracts key features ...

MIT researchers channel AI to turn hand gestures into robot training data

Humanoid robots struggling with tasks like grasping a cup have a new teacher — a person wearing an ultrasound wristband that ...
AZoNano

Machine Learning Reveals Hidden Nanophotonic Resonances In Silicon-Gold Nanopillars

Researchers developed a hybrid UMAP-HDBSCAN-SVM machine learning workflow to rapidly classify low-loss STEM-EELS spectrum ...
Interesting Engineering

US: Los Alamos lab’s new tool detects hallucinations in machine vision models

Los Alamos researchers developed PAS, a real-time tool that helps detect false image claims in machine vision models.
Tech Xplore

Machine learning predicts wind shear 15 seconds ahead with less than 5% error

Wind shear, a sudden change in wind speed or direction, is a major cause of aviation incidents; it was responsible for 18% of ...

FireANTs unlocks faster medical image matching, cutting analysis from a week to minutes

Penn Engineers have developed an open-source algorithm that combines the speed of AI with the precision of geometry to ...