Jeffrey Kephart

Distinguished RSM, Symbiotic Cognitive Systems
IEEE Fellow
Member, IBM Academy of Technology

Jeffrey O. Kephart is a distinguished research scientist at IBM Research in Yorktown Heights, NY. Known for his work on computer virus epidemiology and immune systems, electronic commerce agents, self-managing computing systems, and data center energy management, he presently leads research in the area of symbiotic cognitive systems and serves as co-strategist for embodied cognition. Kephart’s research has been featured in Scientific American, The New York Times, Wired, Forbes, The Atlantic Monthly, Discover Magazine, and comparable publications. He has co-authored over 40 issued US patents and 150 papers, which have received over 19,000 citations. Kephart has delivered keynotes on multi-agent systems research and development at several conferences and workshops, and led teams that have created commercial products in areas that include anti-virus technology and data center energy management. In 2013, he was awarded the rank of IEEE Fellow for his leadership and research in founding autonomic computing as an academic discipline. Kephart graduated from Princeton University with a BS in electrical engineering (engineering physics) and received his PhD from Stanford University in electrical engineering, with a minor in physics.

Participant In:

Embodied AI

Saturday, October 22, 2016
2:30-4:30 pm

Past Event

The increasing appreciation of the body’s role in cognition—that the brain-mind is embedded in a physical, sensory-motor system interacting with the real world—is shedding the dualistic straitjacket that has characterized “classical” artificial intelligence research. So, as proposed by Grady Booch, let’s imagine unleashing a technology platform using natural language processing and machine learning, such as… read more »