Dr. Have Siegelmann’s Super-Turing theory has become a field of computational science: It forms the foundation of a novel paradigm that seamlessly combines discrete and analog components and is the basis of new, significantly more capable lifelong learning AI, where the machine continues improving, forming associations, and developing environmental awareness after the training phase is over. Siegelmann’s research has also led to an improved understanding of biological memory, replay, and reconsolidation, as well as innovative medical diagnostics and treatments.
Dr. Siegelmann has been a visiting professor at MIT, Harvard, Weizmann Institute, ETH Zurich, UC Berkeley, and Cambridge University. Siegelmann has initiated and ran successful women's chapters and activities including under the international neural networks society. She has been leading discussions and meetings in conferences related to ethics in AI. Among other honors, she is an International Neural Networks Society Donald O. Hebb awardee, Obama Brain Initiative awardee, IEEE distinguished lecturer, IEEE fellow, and DARPA Meritorious Public Service awardee.