In this talk we’ll talk about advances in the use of math, neuroscience, feedback mechanisms and perception and how this helps us build AI and agentic systems.
Donna Eng Dillenberger is an IBM Fellow in AI Systems at IBM Research. She has worked on AI and machine learning models for financial, insurance, retail, and healthcare industries. She has designed systems for scalability, security and availability for governments, industries and start-ups. She was an Adjunct Professor at Columbia University’s Graduate School of Engineering, a Master Inventor at IBM and a Board of Trustees member for Marist University. She has given seminars at Harvard, MIT, Stanford and RPI and worked with many corporate Board of Directors on technology futures.
