The Guardian Nigeria

From edge devices to enterprise security, an engineer’s vision for trustworthy machine learning is setting new benchmarks

As AI models migrate from secure data centers to exposed edge devices, a new threat vector has emerged: model theft. Popat identified this vulnerability early, pioneering a novel defense mechanism ...

AI captures particle accelerator behavior to optimize machine performance

Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...
IEEE

Stragglers Reimagined: Explainability-Driven Adaptive Federated Learning for Resource Constrained IoMT System

Abstract: In this paper, we present FlexiFed, a framework designed to enhance Federated Learning (FL) by addressing the challenges of device inclusivity and data prioritization. FL systems typically ...
IEEE

Enhancing Explainability and Trustworthiness of Intrusion Detection Systems Using Competitive Learning

Abstract: Current AI-based Intrusion Detection Systems (IDS) primarily rely on untrustworthy black box methods. Traditionally, many of these black box IDS are built ...
The Lancet

When to and when not to use machine learning in risk prediction models

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
CIO

Predicting the future is easy — deciding what to do is the hard part

AI agents help businesses stop guessing — linking predictions to actions so teams can move from “what might happen” to ...