New research is challenging long-held beliefs about how humans acquire and process language, suggesting our brains may rely less on strict grammar rules and more on familiar word patterns. Studies ...

In today's manufacturing environments, upgrading a robot fleet often means starting from scratch – not only replacing hardware, but also reprogramming ...

Hai Phong aims to maintain its leading position nationwide in education quality, while ensuring learning outcomes approach ...

It also plays a key role in understanding how intelligent AI is, preventing the misallocation of resources, and guiding ...

In classrooms across the state, children are learning to read from teachers required to use new tools, research and instruction. Known as the “science of reading,” this approach draws upon decades of ...

Large language models (LLMs) can generate credible but inaccurate responses, so researchers have developed uncertainty quantification methods to check the reliability of predictions. One popular ...

I was early to the generative AI wave in higher education: I was among the first professors who teach writing to publish in an academic journal about generative AI and critical thinking, and I am now ...

Abstract: This paper addresses the limitations of a single agent in task decomposition and collaboration during complex task execution, and proposes a multi-agent architecture for modular task ...

Abstract: Modern manufacturing is rapidly shifting toward high-mix, low-volume (HMLV) production, which requires flexible and intuitive robot programming methods. However, conventional approaches such ...

1 Huazhong University of Science & Technology, 2 MiLM Plus, Xiaomi Inc. (*) Equal contribution. Task scheduling is critical for embodied AI, enabling agents to follow natural language instructions and ...