Machine learning has been developed to the point where it can perform some truly useful tasks. However, much of the learning technology that’s currently available requires extensive ‘tuning’ in order to work for any particular user, in the context of any particular task.
The focus of the RADAR project is to build a cognitive assistant that embodies machine learning technology that is able to function “in the wild” — by this, we mean that the technology need not be tuned by experts, and that the person using the system that embodies the technology need not be trained in any special way.
Using the RADAR system itself, in the task for which it is designed, should be enough to allow RADAR to learn to improve performance.
RADAR is a project funded by DARPA and led by SRI International in partnership with Carnegie Mellon University, Bitway, Immedius, and Boeing.
For a full list of project personnel, please see the project’s site.
current contact
past head
- Michael Freed
past staff
- Jaime Carbonell