Join us to learn about the latest research on autonomous vehicles at MIT by esteemed researcher and lecturer, Lex Fridman. A more specific topic may be provided as we get closer to the event.
PLEASE NOTE: REGISTRATION THROUGH EVENTBRITE REQUIRED
6:00p - 6:30p: Food, soft drinks, and networking
6:30p - 6:35p: Announcements and updates
6:35p - 6:45p: Presentation from our sponsor, Thales
6:45p - 6:55p: Presentation from our host, Fidelity
6:55p - 7:55p: Autonomous Vehicle Research at MIT by Lex Fridman
7:55p - 8:00p: Networking
Lex Fridman is a researcher at MIT, developing and applying new computer vision and deep learning approaches in the context of self-driving cars with a human-in-the-loop. He works with large-scale, real-world data, with the goal of building intelligent systems that have real-world impact.
Lex received his BS, MS, and PhD from Drexel University where he worked on applications of machine learning, computer vision, and decision fusion techniques in a number of fields including robotics, active authentication, activity recognition, and optimal resource allocation on multi-commodity networks.
Before joining MIT, he was at Google working on machine learning and decision fusion methods for large-scale behavior-based authentication.
His team also received the Best Paper Award (<1%) at CHI 2017 for their work on driver glances: What Can Be Predicted from Six Seconds of Driver Glances?
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