Hava Siegelmann

From 2008 to 2010 (2 years), Hava Siegelmann was a researcher at Harvard UniversityHarvard University. During her time at Harvard University as a researcher, Siegelmann researched evolutionary dynamics with applications to cellular biology.

Hava Siegelmann is a computer scientist, researcher, and program manager for the Information Innovation Office (I2O) of the Defense Advanced Research Projects Agency (DARPA). Siegelmann's work with DARPA focuses on advancing the intelligence of computerized devices through their GaurenteeingGuaranteeing AI Robustness Against Deception (GARD) program, and their Lifelong Learning Machines (L2M) program. Siegelmann's scientific research is primarily focused on creating biologically inspired computational systems capable of exhibiting intelligent behavior.

In 2019, Siegelmann also created the GuarenteeingGuaranteeing AI Robustness Against Deception (GARD) program with DARPA. The GARD program was created to research the vulnerability of machine learning (ML) platforms, and develop secure ML platforms by making them less vulnerable to adversarial deception attacks. Siegelmann made the following comments regarding the purpose of the GARD program:

Computational models developed using the Super-Turing computational model exhibit a 2 to the power aleph-zero possible behavioursbehaviors, which is much greater than the computational models built using the original Turing model. For example, if a machine built using the Turing model was made to have 500 distinct behaviors, a machine built using the Super-Turing computational model based on the same 500 behaviors would have 2 to the power of 500 possible behaviors.