Recent advances in artificial intelligence, represented by systems such as IBM’s Watson, along with highly interactive technologies such as touch, natural language, gesture and speech recognition are significant milestones in computing. At the same time, advances in neuroscience promise to bring us closer to a deeper understanding of cognitive processes such as learning. At the intersection of cognitive neuroscience and cognitive computing lies the extraordinary opportunity to transform learning for all mankind. In this talk, we will explore these themes, suggest a vision for how learning can be truly transformed using computing and advance a road-map to realize this vision.
Dr. Satya V. Nitta is currently the Program Leader of the Cognitive Learning Content research group at IBM’s T J Watson Research Center where he is developing cognitive computing based next generation adaptive learning technologies. As manager and technical leader of the Advanced Interconnect Technology area at the IBM T.J. Watson Research Center in Yorktown Heights, NY he led large teams of scientists and engineers which invented and defined several generations of IBM’s chip technologies ranging from the 65nm node to the 7nm node. His work on using self-assembly to create air gap based interconnects received worldwide press coverage in 2007. He was named as the IEEE ACE “Innovator of the Year” in 2008 and also won an IEEE Spectrum Ace Award for “Technology of the Year” in 2008. He has authored or co-authored over 25 publications, one book chapter, and currently holds over 75 US patents with over 40 patent applications pending at the USPTO. His current interests include astronomy, cognitive computing, cognitive theories of learning, digitization of education, nanoelectronics, and alternative energy technologies.