One slow device is choking your entire network—here's why ...

It used to be that if you used one particular vendor’s automation products or sensors, you were locked in forever. With today ...

Abstract: Given the high cost associated with directly measuring the Traffic Matrix (TM), researchers have devoted efforts to devising methods for estimating the complete TM from low-cost link loads ...

Abstract: A novel reinforced dual-flow neural network based on attention and a polynomial-based radial basis function network (DFBTP) is proposed to enhance classification performance on tabular data.

An analysis by WIRED this week found that ICE and CBP’s face recognition app Mobile Fortify, which is being used to identify people across the United States, isn’t actually designed to verify who ...

The Department for Work and Pensions (DWP) has published a “data strategy” document that sets out what it believes it will take to become an organisation transformed by data usage by 2030. This ...

The deep learning revolution has a curious blind spot: the spreadsheet. While Large Language Models (LLMs) have mastered the nuances of human prose and image generators have conquered the digital ...

Large-language models (LLMs) have taken the world by storm, but they’re only one type of underlying AI model. An under-the-radar company, Fundamental, is set to bring a new type of enterprise AI model ...

National Grid has introduced Triton, a new digital twin and data visualization tool designed to support electricity network planning. The tool was developed in collaboration with Atos and is intended ...

Connecting the dots: When Google's Threat Analysis Group uncovered unusual network activity rippling across millions of internet-connected devices, something didn't add up. The traffic patterns didn't ...

AI is inspiring organizations to rethink a fundamental IT concept: the data center. For decades, the data center was a centralized place. It was a handful of large, secure facilities where ...