Computer science researchers have demonstrated that a widely used technique called neural network pruning can adversely affect the performance of deep learning models, detailed what causes these ...

With potential to make powerful AI systems more affordable and accessible, UC Santa Barbara computer scientist Arpit Gupta ...

This review aims to expose the potential of formal network methods for archaeology by tracing the origins of the academic traditions, network models, and techniques that have been most influential to ...

A new way to think about neural networks Traditional photonic neural networks are trained digitally—on a computer—before being transferred to physical devices.

What is a neural network and how does its operation differ from that of a digital computer? (In other words, is the brain like a computer?) ...

We identify a subclass of exponential-family random graph models (ERGMs) amenable to being estimated from egocentrically sampled network data, and apply pseudo-maximum-likelihood estimation to do so ...

The key value of BNMs lies in their ability to quantitatively analyze abnormal network dynamics of the brain under different disease states, offering new possibilities for personalized treatment ...