While some AI courses focus purely on concepts, many beginner programs will touch on programming. Python is the go-to language for AI because it’s relatively easy to learn and has a massive library of ...

Abstract: Deep neural networks are increasingly used in image processing tasks. However, deep learning models often show vulnerability when facing adversarial attacks. Active defense is an important ...

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 ...

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 ...