Advances in artificial intelligence, machine learning, and data analysis in the last decade have made it possible to develop more sophisticated AI systems which are being used in a broad range of applications. However, the mathematical background for much of these new developments does not exist or is poorly written. As part of our efforts to get the mathematical research community more involved in Machine Learning and Artificial Intelligence in general, we are organizing a special session in the AMS Sectional Meeting in Milwaukee, titled “Artificial Intelligence and Mathematics”.
The special session will focus on applications of Artificial Intelligence to mathematics, especially on ideas which are based on concrete, explicit computational results through implementation and use of AI packages and methods. Moreover, we explore new mathematical ideas to construct better neural networks.
This proceedings volume as part of the series Contemporary Mathematics will be based on the work presented in this special session. We also intend to invite other researchers and mathematicians who will not be able to attend the sectional meeting.