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 ...

Learning to identify new objects reshapes parts of the brain, research finds

The wiring and rewiring of the brain never ends. Neural pathways are constantly being reshaped as we interact with the world ...
Canada

Learning activities

The Canadian Conservation Institute (CCI) and the Canadian Heritage Information Network (CHIN) share conservation knowledge on a range of conservation-related topics, such as collections care, ...
IEEE

A PID Based Meta-Learning Method About Space Non-Cooperative Active Object Tracking

Abstract: In recent years, more and more scholars pay attention to the problem of active object tracking, which has a wide range of application scenarios. Active tracking of non-cooperative objects in ...
techxplore

Enhanced YOLO framework boosts 360-degree small-object detection to 90% accuracy

Omnidirectional cameras are widely popular as they capture a full 360-degree view. They are often utilized for surveillance, traffic analysis, and autonomous systems. But the same wide-angle vision ...
Hacker

How I Made Object Detection Smarter for Self-Driving Cars With Transfer Learning & ASPP

Self-driving cars can’t afford mistakes. Missing a traffic light or a pedestrian could mean disaster. But object detection in dynamic urban environments? That’s hard. I worked on optimizing object ...
UCL

Museums and Collections

Discover UCL’s Grant Museum of Zoology, Petrie Museum of Egyptian and Sudanese Archaeology, UCL Art Museum and UCL Pathology Museum, other UCL collections and an exciting exhibitions and events ...
GitHub

EchoTrack: Auditory Referring Multi-Object

We select 50 videos from BDD100k tracking set as our training and validation videos. We put the entire dataset on GoogleDrive. The Refer-BDD are structured as below. 2025.6.8 Release AR-MOT benchmarks ...
Science Daily

AI helps robots manipulate objects with their whole bodies

A new AI technique enables a robot to develop complex plans for manipulating an object using its entire hand, not just fingertips. This model can generate effective plans in about a minute using a ...
IEEE

A Learning-Based Object Tracking Strategy Using Visual Sensors and Intelligent Robot Arm

Abstract: This paper focuses on addressing the visual tracking problem using learning-based methods for object tracking tasks. This problem contains a major difficulty, i.e., how to acquire a ...