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 ...
IEEE

A Deep Reinforcement Learning-Based Adaptive Large Neighborhood Search for Capacitated Electric Vehicle Routing Problems

The Capacitated Electric Vehicle Routing Problem (CEVRP) poses a novel challenge within the field of vehicle routing optimization, as it requires consideration of both customer service requirements ...
Edutopia

Using Clubs to Foster Real-World Skills

Elementary teachers can create authentic contexts for students to practice critical thinking, collaboration, and ...

Google Tested Its AI Tutor In Real Classrooms. It Worked

Google says its AI tutor delivered a year of math progress in eight weeks. I asked the DeepMind researcher behind the trial ...
Times Higher Education

Impactful lessons begin and end with clarity

Common in primary and secondary teaching, starter and plenary activities can get students interested and build knowledge. Paul Demetriou explains how to use them in university teaching ...