The intersection of big data, machine learning, and human performance has ushered in a transformative era. We no longer rely solely on intuition or retrospective analysis; instead, we are moving ...

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 ...

Advances in artificial intelligence and multi-omic analysis are transforming fetal medicine from a diagnostic discipline into a predictive one. Yet the legal, deontological, and ethical frameworks ...

Can anyone remember their life before artificial intelligence (AI)? Many struggle with that, but what I do remember is how things worked in the business sector, especially in education.

Predictive maintenance is transforming rail operations by using data to reduce downtime, extend component life, and lower lifecycle costs. Rail operations have historically relied on scheduled ...

Abstract: Predictive control can either be data-based (e.g. data-enabled predictive control, or DeePC) or model-based (model predictive control). In this paper we aim to bridge the gap between the two ...

Abstract: This article studies the issue of switched data-driven model predictive control (MPC) for a class of hybrid nonlinear systems with modal dwell time (MDT) restriction, where each subsystem is ...