The Tiny Machine Learning Open Education Initiative (TinyMLedu). An international group of academics and industry professionals from around the globe working to increase global access to low-cost embedded machine learning education and research. TinyMLedu is hosted by the Harvard John A. Paulson School of Engineering and Applied Sciences and affiliated with the TinyML foundation.
SciTinyML-22: Scientific Use of Machine Learning on Low-Power Devices: a 5-day hands-on, virtual workshop for university students and professors exploring real-world applications of TinyML and how they can impact the developing world. The workshop was run regionally for 2022 with seperate workshops for Africa (187 participants from 29 countries), Asia (100 from 8), and Latin America (200 from 17).
EASI-22: Edge AI Summer Institute. A 3-day, hands-on workshop for high school teachers and students exploring real-world applications of artificial intelligence at the edge through hands-on examples of TinyML. This program was a collaboration between Harvard University, Navajo Technical University, and Barnard College, Columbia University.
CRESTLEX 3.0: CReating Effective STem Learning Experiences. A 4-day, hands-on workshop for high school teachers and students exploring real-world applications of artificial intelligence through hands-on examples of TinyML. This program was a collaboration between Harvard University, Navajo Technical University, Google, and Edge Impulse.
MIT Beaverworks Summer Institute: Autonomous RACECAR Grad Prix. A 4-week, project-based, summer program held at MIT for rising high school juniors and seniors exploring self driving cars. Students worked in teams of 4-6 to program their own 1/10-scale self driving car powered by an NVIDIA Jetson using an onboard LIDAR, stero camera, and IMU.