The Mathematics of Intelligence, Natural and Artificial, with Dr. Joshua B. Tenenbaum

Artificial intelligence has brought us many useful technologies, but true machine intelligence remains elusive.  Nothing besides the human mind has the flexible, general-purpose common sense that we use from very early in development.  How can we capture human intelligence in engineering terms, and what are the prospects for someday building machines that are as smart as we are?  Join Dr. Joshua B. Tenenbaum, Professor of Computational Cognitive Science at the Massachusetts Institute of Technology and 2019 MacArthur Fellow, to explore the mathematics of minds, both natural and artificial.  Dr. Tenenbaum will discuss recent results and insights that come from building models of core human common sense; introduce state-of-the-art mathematical concepts from probability, programming, and simulation; and share practical examples of how these tools let us predict and explain our own minds’ workings and ultimately let us build AI systems that come ever closer to human-like intelligence.