SHOT²

SHOT² is an academic moonshot developed by the Ming Hsieh Institute Scholars to enable high-impact research with minimal risk. The program provides participants with fundamental instruction and hands-on training in three of the hottest fields: Artificial Intelligence, Quantum Mechanics, and Mixed Reality.

This program is open to ALL levels of education and ALL majors. And, while we encourage participation throughout the program, there is no “mandatory” section, so you can tailor your attendance to suit your specific goals.

Register to attend and for more updates

Read a More Detailed Introduction to the Program

Download the PPT presentation from the info session

For Registered Attendees and Sponsors only: Watch our first 101 lecture with Prof. Bhaskar Krishnamachari, one of PopSci’s Brilliant 10 and co-director of the MHI, who spoke to a packed house in EEB 132 on Embedded Systems. 

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For Registered Attendees and Sponsors only: Watch our second lecture with Prof. Sanjay Madhav – an industry vet turned senior lecturer of the Information Technology Program at USC. Prof. Madhav has worked on everything from Tony Hawk to Lord of the Rings games. He is also author of Game Programming Algorithms and Techniques and co-author of Multiplayer Game Programming.  

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For Registered Attendees and Sponsors only: Watch our third lecture with PhD student Soheil Soltani, focusing on Quantum Mechanics. Soheil works in Dr. Andrea Armani’s lab and is a master in all things optics with a gift for teaching. 


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For Registered Attendees and Sponsors only: Watch our fourth lecture. Dr. Brandon Franzke received his Ph.D. in 2015 from USC for his work on noise benefits in Markov chain Monte Carlo computation.  He currently leads the data science research team at a mobile software and analytics startup in Santa Monica that specializes in the Twitter advertising platform. 

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For Registered Attendees and Sponsors only: Watch our AS2 lecture.  Prof. Fei Sha, a faculty member at USC, Department of Computer Science.His research interest is statistical machine learning.