Gurdip Singh, Divisional Dean, School of Computing, received funding from the National Science Foundation for the project: "EAGER: Distributed Computing Models and Algorithms for Pervasive Systems." ...

Distributed deep learning has emerged as an essential approach for training large-scale deep neural networks by utilising multiple computational nodes. This methodology partitions the workload either ...

In the fast-changing digital era, the need for intelligent, scalable and robust infrastructure has never been so pronounced. Artificial intelligence is predicted as the harbinger of change, providing ...

Neel Somani, a researcher and technologist with a strong foundation in computer science from the University of California, Berkeley, focuses on advancements of distributed computing across personal ...

The sheer volume of ‘Big Data’ produced today by various sectors is beginning to overwhelm even the extremely efficient computational techniques developed to sift through all that information. But a ...

The global COVID-19 pandemic exacerbated some of the security risks associated with the move to a more distributed computing model. Here are 4 ways security organizations are responding as edge ...