TinyML can be used to enrich courses across the STEM curriculum, ranging from machine learning to embedded systems, with exciting, hands-on projects. tinyMLedu is working to help widen access to such applied machine learning experiences by building an international coalition of researchers and practitioners. Through collaborations across academia and industry, we are working to develop and share high quality, open-access educational materials globally and provide global access to the requisite hardware and software resources. You can learn more about our efforts at tinyMLedu.org.
Schedule
Timezone: PST
tinyMLedu: widening access to tinyML education and resources
Brian PLANCHER, Ph.D. Candidate
Harvard John A. Paulson School of Engineering and Applied Sciences
TinyML can be used to enrich courses across the STEM curriculum, ranging from machine learning to embedded systems, with exciting, hands-on projects. tinyMLedu is working to help widen access to such applied machine learning experiences by building an international coalition of researchers and practitioners. Through collaborations across academia and industry, we are working to develop and share high quality, open-access educational materials globally and provide global access to the requisite hardware and software resources. You can learn more about our efforts at tinyMLedu.org.
Brian PLANCHER, Ph.D. Candidate
Harvard John A. Paulson School of Engineering and Applied Sciences
Brian is a Ph.D. Candidate studying Robotics at Harvard University working with Vijay Janapa Reddi and Scott Kuindersma and co-chairs tinyMLedu. His research is focused on developing and implementing open-source algorithms for dynamic motion planning and control of robots by exploiting both the mathematical structure of algorithms and the design of computational platforms. As such, his research is at the intersection of Robotics and Computer Architecture / Embedded Systems, Numerical Optimization, and Machine Learning. He also wants to improve the accessibility of STEM education. He enjoys teaching and designing new interdisciplinary, project-based, open-access courses that lower the barrier to entry of cutting edge topics like tinyML. He also enjoys spending his free time with my wife, daughter, and puppy, and ski racing in the winters.
Schedule subject to change without notice.