Factory robots will soon be tackling complex, dynamic and dexterous tasks previously unattainable with traditional automation ...

MenteeBot autonomously fetches a Coke, showing how robots can learn tasks through demonstration and verbal instructions.

Artificial intelligence was supposed to make markets leaner and more efficient. Instead, new research suggests that when left ...

Based on the study's findings, the authors proposed an integrated curriculum framework for AI departments that combines comprehensive computer science education with specialised AI coursework.

Abstract: A differential dynamic programming (DDP)-based framework for inverse reinforcement learning (IRL) is introduced to recover the parameters in the cost function, system dynamics, and ...

Abstract: The rapid evolution of Adaptive Education highlights the necessity of personalized learning paths that cater to the unique cognitive styles, preferences, and capabilities of each student.

Robotic racket sports provide exceptional benchmarks for evaluating dynamic motion control capabilities in robots. Due to the highly non-linear dynamics of the shuttlecock, the stringent demands on ...

In this video, we break down the core training theory behind DeepSeek R1 — including General Reinforced Preference Optimization (GRPO), Reinforcement Learning (RL), and Supervised Fine-Tuning (SFT). A ...

1 School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, USA. 2 Department of Electrical and Computer Engineering, Duke University, Durham, NC, USA. As cloud ...