New approach improves accuracy of quantum chemistry simulations using machine learning

A new trick for modeling molecules with quantum accuracy takes a step toward revealing the equation at the center of a ...
Robohub

Self-supervised learning for soccer ball detection and beyond: interview with winners of the RoboCup 2025 best paper award

Presentation of the best paper award at the RoboCup 2025 symposium.
Tech Xplore

Autobot platform uses machine learning to rapidly find best ways to make advanced materials

A research team led by the Department of Energy's Lawrence Berkeley National Laboratory (Berkeley Lab) has built and ...
IEEE

Detection, classification and identification of objects in underwater harsh environments using machine learning

Abstract: Detection, classification and identification of underwater objects are both complex and essential tasks for perception and navigation of Autonomous Underwater Vehicles (AUVs) and Remotely ...
IEEE Spectrum on MSN

Machine Learning Tests Keep Getting Bigger

The machine learning field is moving fast, and the yardsticks used measure progress in it are having to race to keep up. A case in point, MLPerf, the bi-annual machine learning competition sometimes ...
IEEE

Data-Efficient Object Detection on Construction Sites Using Reweighting Mechanism and Cross-Batch Contrastive Learning

Abstract: Deep learning-based object detectors face unique challenges in construction sites, including severe occlusions from complex spatial arrangements, similar appearances between different ...
GitHub

Gunny Bags Object Detection and Counting System

This project is an object detection and counting system designed to track and count objects (e.g., gunny bags) in a video using the YOLO (You Only Look Once) model. The system processes video frames, ...