It is widely recognized that the performance of neural networks depends on their architecture 1. On one hand, the design of these structures is inspired by biological neural networks. For instance, ...

A groundbreaking 1986 technique called backpropagation revolutionized artificial intelligence, enabling computers to learn ...

Biological cells process data and perform computations all the time. They take inputs in the form of external stimuli and produce specific responses. Recently, scientists have been looking at ways to ...

Artificial neural networks (ANNs) are at the core of most Deep Learning (DL) algorithms that successfully tackle complex problems like image recognition, autonomous driving, and natural language ...