MIT EECS Analog Devices Undergraduate Research and Innovation Scholar
Accelerating Embedded Algorithms for Low-Power Machine Learning and Computer Vision
The purpose of this project is to optimize and implement computer vision and machine learning algorithms for use on cheap low-power embedded devices. This will also be useful in systems requiring multiple cameras where processing can be done at the devices themselves and video data does not need to be sent to a centralized server.
I wanted to get hands-on research experience in a world-class laboratory.