Earlier this year we wrote that AI-powered engineering is the answer to today’s furious pace of product development and ever more competitive markets. As we said then, “Our AI-powered engineering ...

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 ...

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 ...

Deep reinforcement learning (DRL) has emerged as a transformative approach in the realm of fluid dynamics, offering a data-driven framework to tackle the intrinsic complexities of active flow control.

Our Master of Science degree program in systems and control engineering provides students with the essential skills and tools to combine the efforts of several engineering fields. At the Case School ...