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 ...

Please enroll in Piazza for this course...announcements will be broadcast via Piazza. 15-745 is a graduate course in optimizing compilers for modern architectures. The learning objectives are: To ...

Daniel G. Bobrow, Linda G. DeMichiel, Richard P. Gabriel, Sonya E. Keene, Gregor Kiczales, David A. Moon, Crispin Perdue, Kent M. Pitman, Richard C. Waters, and Jon L ...

This course provides a thorough, hands-on introduction to automated theorem proving. It consists of a traditional lecture component and a joint project in which we will construct a theorem prover. The ...

We introduce the heat method for solving the single- or multiple-source shortest path problem on both flat and curved domains. A key insight is that distance computation can be split into two stages: ...

New instruments for imaging human brain activity, such as fMRI, offer a wonderful opportunity to study mechanisms in the brain. Our group develops statistical machine learning algorithms to analyze ...

15-210 aims to teach methods for designing, analyzing, and programming sequential and parallel algorithms and data structures. The emphasis is on teaching fundamental concepts applicable across a wide ...

Psi, a simulated patient for cognitive behavioral therapy training that uses large language models to help bridge the gap between classroom learning and real-world experience.

A Robotics Institute team has developed Neural Motion Planning to help improve how robots react in new environments and perform tasks like removing a book from a shelf cluttered with other items and ...

In June 2007 I started a new lab in Karlsruhe, Germany. Please refer to the webpage of the Cognitive Systems Lab which describes the research that I direct in the area of human-centered technologies ...

SCS researchers worked with a team from Meta AI to leverage large language models and teach robots and AI agents how to operate in response to vague directions. People can be relatively vague when ...