IEEE

Language-Driven Active Learning for Diverse Open-Set 3D Object Detection

Abstract: Object detection is crucial for ensuring safe autonomous driving. However, data-driven approaches face challenges when encountering minority or novel objects in the 3D driving scene. In this ...
pv magazine International

US researchers use machine learning to detect hidden solar array defects

Researchers from Stony Brook University, in collaboration with Ecosuite and Ecogy Energy, have developed a self-supervised machine-learning algorithm designed to identify physical anomalies in solar ...
IEEE

Machine Learning Model for Road Anomaly Detection Using Smartphone Accelerometer Data

Abstract: This paper presents a vibration-based machine learning approach for road surface monitoring using smartphone sensors. With Mexico’s road network experiencing significant deterioration and ...
Phys.org

Can scientists detect life without knowing what it looks like? Research using machine learning offers a new way

When NASA scientists opened the sample return canister from the OSIRIS-REx asteroid sample mission in late 2023, they found something astonishing. Dust and rock collected from the asteroid Bennu ...