Robotics is entering a new phase where general-purpose learning matters as much as mechanical design. Instead of programming ...

Recently, model-based reinforcement learning has been considered a crucial approach to applying reinforcement learning in the physical world, primarily due to its efficient utilization of samples.

Higher education must move beyond static campus-based learning and adapt to an artificial intelligence (AI)-native world, ...

School districts in every state now have the green light to establish competency-based education programs and models in their classrooms—but they have a lot of work to do on the operational side to ...

Researchers have demonstrated, for the first time, that transfer learning can significantly enhance material Z-class identification in muon tomography, even in scenarios with limited or completely ...