IEEE

VisionHub: Learning Task-Plugins for Efficient Universal Vision Model

Abstract: Building on the success of universal language models in natural language processing (NLP), researchers have recently sought to develop methods capable of tackling a broad spectrum of visual ...

MIT study finds AI tools may reduce deep thinking during writing

A new study by researchers at MIT Media Lab has examined how the use of AI tools affects thinking and learning during writing ...
IEEE

Dynamic Task Offloading and Resource Allocation for Vehicular Edge Computing Networks Based on Deep Reinforcement Learning

Abstract: Vehicular edge computing (VEC) server allocates computing resource blocks (CRBs) with different CPU frequencies to process tasks with different low latency requirements. During task ...