Abstract: Deep reinforcement learning (DRL) recently has attained remarkable results in various domains, including games, robotics, and recommender system. Nevertheless, an urgent problem in the ...

I recently re-certified as a 5 Moments of Need™ (5 MoN) Performance Support Designer. The framework has been foundational to my learning design practice since 2020, when I shifted toward ...

Abstract: Due to limited on-board resources and the mobility characteristics of vehicles in a multi-access edge computing (MEC)-based vehicular network, efficient task offloading and resource ...

Modern air defense confrontations demand rapid, precise task assignments in environments where threats evolve within seconds.

Taiwan is moving fast to bring AI into education, especially English learning. The Ministry of Education (MoE) is setting up ...

Welcome to WP Intelligence’s AI & Tech Brief, where we examine the transformative technology of artificial intelligence at ...

I wanted to better understand what lies behind conflicting research on why students listen to music and whether it makes it ...

Class-incremental learning (CIL) seeks to enable a model to sequentially learn new classes while retaining knowledge of previously learned ones. Balancing flexibility and stability remains a ...

How speech therapy and reading intervention can transform support for students with language-based learning differences.

Ape minds have long been treated as clues to humanity’s past. Compare a chimpanzee, bonobo, gorilla, or orangutan with a ...

This is the code repo for Task-Agnostic Guided Feature Expansion for Class-Incremental Learning (CVPR 2025). TL;DR: We propose TagFex framework to address feature collision in Class-Incremental ...

Robots are increasingly expected to operate beyond structured laboratories, where they must interpret incomplete sensory ...