To take a photo of a black hole, you'd need a telescope the size of a planet. That's not really feasible, but Katie Bouman and her team came up with an alternative solution involving complex algorithms and global cooperation. Check out this talk to learn about how we can see in the ultimate dark.

Katie Bouman is a Ph.D. candidate in the Computer Science and Artificial Intelligence Laboratory (CSAIL) at the Massachusetts Institute of Technology (MIT), under the supervision of William T. Freeman. She previously received a B.S.E. in Electrical Engineering from the University of Michigan, Ann Arbor, MI in 2011 and an S.M. degree in Electrical Engineering and Computer Science from MIT, Cambridge, MA in 2013. The focus of Katie’s research is on using emerging computational methods to push the boundaries of interdisciplinary imaging.

This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at http://ted.com/tedx