A new machine-learning technique can efficiently learn to control a robot, leading to better performance with fewer data. Researchers from MIT and Stanford University have devised a new ...

In 2025, the energy company HF Sinclair stepped up with additional support to enhance process control education and workforce ...

Choose coursework based on your interests, and you’ll be prepared to build and manage systems for renewable energy or work with smart buildings. Whatever you decide, you’ll have a strong support ...

Abstract: Strategic behavior in complex systems—such as digital platforms or autonomous agent networks—is shaped by how information is collected, shared, and used in decision-making. In this talk, I ...

Imagine balancing a ruler vertically in the palm of your hand: you have to constantly pay attention to the angle of the ruler and make many small adjustments to make sure it doesn't fall over. It ...

This illustration draws a parallel between quantum state tomography and natural language modeling. In quantum tomography, structured measurements yield probability outcomes that are aggregated to ...

Researchers present a comprehensive review of frontier AI applications in computational structural analysis from 2020 to 2025, focusing on graph neural networks (GNNs), sequence-to-sequence (Seq2Seq) ...

Prompt engineering–the ability to craft precise, thoughtful inputs for AI tools to produce effective outputs–is quickly becoming an essential skill in modern education. More than a technical trick, it ...

Whether you’re looking to study systems for renewable energy, automation and robotics, or a variety of other engineering areas, our online MS in Systems and Control Engineering program allows you to ...