One of the most beautiful ideas generated by modern science over the past few decades is the concept of neural networks (neural nets), a computational framework that imitates the workings of the human brain. These networks have been used to understand the outcome of scientific experiments, make weather predictions and political forecasts, and even aid in mathematical research. Through the Tripods NSF REU and STEM for All summer research programs, students will take a comprehensive approach to neural nets, focusing on both the theoretical and applied aspects of this beautiful, emerging discipline. Students will learn the basic theory of neural nets in the mornings, followed by intensive programming sessions in the afternoons.

We are looking for participants who are equally excited about the pure and applied aspects of the neural – students who are just as willing to delve into the mathematical intricacies as they are to write complex code to implement the resulting ideas. This program is committed to recruiting female participants and members of underrepresented groups.

In addition to research, the program will also have an outreach component. We will expose a small group of middle school students from inner city Rochester schools to mathematical explorations using Python. Participants in the program will be asked to assist in this wonderful and rewarding process.