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 ...

Researchers are using machine learning, symbolic regression, and high-performance computing to explore and classify string ...

Discover how machine learning is reshaping chemical manufacturing—from optimizing reactions and reducing waste to ...

This article proposes a novel receding-horizon reinforcement learning approach for time-delayed human–machine shared control of intelligent vehicles. First, we build a multikernel-based data-driven ...

Inaccurate metaphors about the mind can cause real harm, for instance leading educators to 'train' children like algorithms.

We take a deep dive into the inner workings of the wildly popular AI chatbot, ChatGPT. If you want to know how its generative ...

When someone starts a new job, early training may involve shadowing a more experienced worker and observing what they do ...