Once every week while school is in session, EECS invites a distinguished researcher or practitioner in a computer science or electrical and computer engineering-related field to present their ideas and/or work. Talks are generally targeted to electrical engineering and computer science graduate students. This colloquium series is free and open to everyone.

Upcoming Colloquia

Imagination Machines: Today we Google, Tomorrow we will Woz

Monday, April 23, 2018 - 4:00pm to 4:50pm
LINC 200

Speaker Information

Sridhar Mahadevan
Visiting Professor
Department of Computer Science
Stanford University


Humans exhibit a strong predisposition to imagine — to mentally transcend time, place, and circumstance — from an early age. Cave paintings and sculptures found in Europe from tens of thousands of years ago show that our ancestors were capable of depicting or carving impossible objects. Imagination is found in every mythology in the world, from the Greeks to the Hindus. Imagination is prized in the arts, literature, music, poetry, as well as science and engineering.

In this talk, we introduce a new challenge for artificial intelligence: how to build imagination machines? Much of the recent excitement in AI is based on advances in data science, which is broadly the study of methods that convert samples into probability distributions. Data science is the study of “what-is”: like statistics, it studies the summarization of historical data.

We introduce a new field of study in AI called imagination science that, in contrast, is the study of “What if”? and “Why?”. Imagination science extends data science to answer a much broader range of questions, ranging from interventions to impossible counterfactual situations. We show that a number of converging lines of research in AI can be seen as attempts to build imagination machines, ranging from recent work on generative adversarial networks to cognitive architectures that combine observation, intervention and counterfactual reasoning. We summarize novel research ideas, including new ways of modeling sequential decision making using counterfactual imagination models, as well as extensions of GANs using ideas from network economics.  We show that research on imagination forms a nice synergy to ongoing work on high fidelity complex simulation engines, representing today’s forerunners to The Matrix, a “What if” eventual successor to today’s “What is” search engines.

Speaker Bio

Sridhar Mahadevan is a Visiting Professor in the Department of Computer Science at Stanford University. Previously, in 2017, he directed the SRI (formerly, Stanford Research Institute) Artificial Intelligence Center in Menlo Park. Prior to moving to SRI, he was and is a Professor at the College of Information and Computer Sciences at the University of Massachusetts, Amherst, where he continues to co-direct the Autonomous Learning Laboratory with Andrew Barto and Philip Thomas. Dr. Mahadevan was elected a Fellow of AAAI in 2014 for significant contributions to machine learning. In AAAI 2018, his paper on imagination machines received a Blue Sky Paper Award from the Computing Community Consortium.

Past Colloquia

Guanhua Yan
Monday, April 8, 2013 - 10:00am to 11:00am
Jonathan Hurst
Monday, April 1, 2013 - 4:00pm to 4:50pm
Dr. Michael Dinitz
Thursday, March 14, 2013 - 8:30am to 9:45am
Amir Nayyeri
Monday, March 11, 2013 - 10:00am to 11:15am
Erin Chambers
Friday, March 8, 2013 - 10:00am to 11:15am
Philip J. Guo
Wednesday, March 6, 2013 - 10:00am to 11:15am
Matthew Taylor
Monday, March 4, 2013 - 4:00pm to 4:50pm
Mi Zhang
Thursday, February 28, 2013 - 8:45am to 9:45am
Charalampos Papamanthou
Wednesday, February 27, 2013 - 10:00am to 11:15am