Researchers have developed photonic computing chips that overcome key limitations for a type of neural network known as a photonic spiking neural system. By enabling fast learning and decision making ...

The challenges, such as opening a door with a round doorknob, started out easy, at least for a human, and progressed to “gold ...

The team has used this approach to rapidly train the bots in upwards of 60 small, mostly kitchen-based tasks so far – each relatively simple for the average adult human, but each requiring the robots ...

When classrooms went online in 2020 during the pandemic, gamified learning opportunities grew as a quick and easy way to evaluate the general learning that was happening from student to student.

More engineers are turning to reinforcement learning to incorporate adaptive and self-tuning control into industrial systems. It aims to strike a balance between traditional ...

Parents visiting their children’s kindergarten class for the first time may think they’ve arrived at the wrong room, especially if they expect it to resemble the kindergarten they attended as ...

Neural responses during statistical learning reveal dissociable dynamic effects of expectation, supporting the opposing process theory within trials while demonstrating contrasting effects across ...