Control's collection of resources to help with digital twin education and implementation, from Aveva, Nvidia and more ...

Understand the impact of AI coding on scientific workflows and how it can make computational tools more accessible to ...

Flux balance analysis is a mathematical approach for analyzing the flow of metabolites through a metabolic network. This primer covers the theoretical basis of the approach, several practical examples ...

As a result, remote control technologies are being widely adopted across various sectors. Among the many components used in ...

Abstract: Faculty in the College of Engineering at the University of Alabama developed a multidisciplinary course in applied spectral analysis that was first offered in 1996. The course is aimed at ...

Abstract: Simulation forms an important part of the development and empirical evaluation of underwater acoustic network (UAN) protocols. The key feature of a credible network simulation model is a ...

When it comes to tasks other than number crunching, the human brain possesses many advantages over a digital computer. We can quickly recognize a face, even when seen from the side in bad lighting in ...

Software package for (N-1-1) LASCOPF (Look-Ahead Security Constrained Optimal Power Flow) with post-contingency restoration in terms of thermal line limits. Also includes Distributed Deep ...

This is the primary documentation for the MoveIt project. We strongly encourage you to help improve MoveIt's documentation. Please consider helping improve the tutorials, port old ones from ROS 1, and ...

HHsim is a graphical simulation of a section of excitable neuronal membrane using the Hodgkin-Huxley equations. It provides full access to the Hodgkin-Huxley parameters, membrane parameters, stimulus ...

Find out more about undergraduate study at the School of Electronic Engineering and Computer Science.

I'm a professor in the Machine Learning Department at Carnegie Mellon. I am also affiliated with the Robotics Institute. I'm interested in multi-agent planning, reinforcement learning, ...