In a Nature Communications study, researchers from China have developed an error-aware probabilistic update (EaPU) method ...

Secondly, the lack of an efficient general training method for such physical neural networks. Both challenges can be overcome with the new method proposed by Clara Wanjura and Florian Marquardt from ...

According to a new study published this morning in Nature, an algorithm trained via a deep neural network has been able to perform on par with board-certified cardiologists at the annotation of 12 ...

Researchers have developed an algorithm to train an analog neural network just as accurately as a digital one, enabling the development of more efficient alternatives to power-hungry deep learning ...