Critical infrastructure faces a widening speed gap between adversary action and defender response, especially in OT and ICS environments where safety, uptime, and change-control constraints make ...

Analysis and insights for driving a rapid transition to net-zero while building resilience to physical climate impacts ...

A library to generate synthetic tabular or RDF data using Conditional Generative Adversary Networks (GANs) combined with Differential Privacy techniques.

Wargaming has long been a vital method for understanding human decision-making in complex, uncertain environments by harnessing the power of experiential learning. While traditional wargames offer ...

School of Chemistry and Chemical Engineering, Hefei University of Technology, Hefei 230009, China School of Petrochemical Engineering, Lanzhou University of Technology, Lanzhou 730050, China ...

AT&T is using a generative AI system to help control network operations, a move that the carrier said is a step toward greater network autonomy. Raj Savoor, VP of network analytics and automation at ...

Generative AI is no longer a promise for the distant future for IT departments. It is on its way to becoming a practical tool that will change the way networks are managed. Traditional network ...

Forbes contributors publish independent expert analyses and insights. I am an MIT Senior Fellow & Lecturer, 5x-founder & VC investing in AI AI is big and powerful – many humans with even a passing ...

Recent advances in connectomics, biophysics, and neuronal electrophysiology warrant modeling of neurons with further details in both network interaction and cellular dynamics. Such models may be ...

The emergence of generative artificial intelligence (AI) indicates a paradigm shift in military research and application, echoing the revolutionary scientific framework presented by Thomas Kuhn in his ...

Abstract: This study proposes a dual-temporal feature fusion model based on a conditional generative adversarial network (cGAN) to achieve early prediction of pathological complete response (pCR) ...

We introduce GenAI4UQ, a software package for inverse uncertainty quantification in model calibration, parameter estimation, and ensemble forecasting. GenAI4UQ leverages a generative AI-based ...