Nathan Eddy works as an independent filmmaker and journalist based in Berlin, specializing in architecture, business technology and healthcare IT. He is a graduate of Northwestern University’s Medill ...

A recent study, “Picking Winners in Factorland: A Machine Learning Approach to Predicting Factor Returns,” set out to answer a critical question: Can machine learning techniques improve the prediction ...

This course covers three major algorithmic topics in machine learning. Half of the course is devoted to reinforcement learning with the focus on the policy gradient and deep Q-network algorithms. The ...

A case study in aerospace manufacturing provides an overview of how physics-informed digital twin systems transform robotics processes—from adaptive process planning and real-time process monitoring ...

Overview: AI-powered algorithms now drive a major share of global trading activity.Modern trading systems rely more on intelligence and data, not just execution ...

This review shows that machine learning enables early disease diagnosis, automates selective tea-bud harvesting, evaluates sensory quality using multi-sensor fusion, and predicts yields with higher ...

Electron density prediction for a four-million-atom aluminum system using machine learning, deemed to be infeasible using traditional DFT method. × Researchers from Michigan Tech and the University of ...

This system utilizes machine learning algorithms to optimize the operation of particle accelerators, reducing manual intervention and enhancing precision in real-time control. By integrating virtual ...

Artificial intelligence (AI) & machine learning (ML) are areas that enable computers and machines to think and learn, and they are the two powerhouses driving innovation across industries today.