Add to Favourites
To login click here
Researchers have developed atomically thin artificial neurons capable of processing both light and electric signals for computing. The material enables the simultaneous existence of separate feedforward and feedback paths within a neural network, boosting the ability to solve complex problems. The advancement allowed the team to create winner-take-all neural networks, which have the potential for solving complex problems in machine learning.
