ScienceDaily: Computers & Math News

A research team has developed an optical computing system for AI and machine learning that not only mitigates the noise inherent to optical computing but actually uses some of it as input to help enhance the creative output of the artificial neural network within the system.

Researchers have developed a new control approach that enables a legged robot, called ANYmal, to move quickly and robustly over difficult terrain. Thanks to machine learning, the robot can combine its visual perception of the environment with its sense of touch for the first time.

Scientists have boosted the efficiency and scalability of perovskite solar cells by replacing their electron-transport layers with a thin layer of quantum dots.

By shaking an optical lattice potential, researchers have realized a discontinuous phase transition in a strongly correlated quantum gas, opening the door to quantum simulations of false vacuum decay in the early universe.