Dickinson presents its portfolio of “metamaterials,” looking to collaborate with industry partners to demonstrate their ...

Ever since researchers began noticing a slowdown in improvements to large language models using traditional training methods, ...

Reinforcement learning (RL) has been successfully applied to motion control, without requiring accurate models and selection of control parameters. In this paper, we propose a novel RL algorithm based ...

Watching last week’s Grok 4 release, one statistic stood out to us. XAI said it spent 10 times as much computational power on ...

When was the last time you sat down and tried to learn something? How did you approach it? Did you make flashcards for ...

Integrating learning-based techniques, especially reinforcement learning, into robotics is promising for solving complex problems in unstructured environments. Most of the existing approaches rely on ...

When someone starts a new job, early training may involve shadowing a more experienced worker and observing what they do (imitation). But as the worker gains more experience, learning shifts to ...