SciTinyML-21 was a, five day, hands-on, virtual, global (216 participants from 48 countries) workshop exploring how embedded ML (tinyML) can impact the developing world through hands-on activities using the Edge Impulse cloud platform and a smartphone. This program was a collaboration between the Abdus Salam International Centre for Theoretical Physics (ICTP), the Harvard John A. Paulson School of Engineering and Applied Sciences, and TinyML4D.
CRESTLEX 3.0 was a first-of-its-kind, 4-day, hands-on workshop for high school teachers and students exploring real-world applications of artificial intelligence through hands-on examples of Tiny Machine Learning (TinyML). This program was a collaboration between Navajo Technical University, the Harvard John A. Paulson School of Engineering and Applied Sciences, Google, and Edge Impulse.
In this exciting Professional Certificate program offered by Harvard University and Google TensorFlow, you will learn about the emerging field of Tiny Machine Learning (TinyML), its real-world applications, and the future possibilities of this transformative technology. TinyML is a cutting-edge field that brings the transformative power of machine learning (ML) to the performance-constrained and power-constrained domain of embedded systems. The program will emphasize hands-on experience and is a collaboration between expert faculty at Harvard’s John A. Paulson School of Engineering and Applied Sciences (SEAS) and innovative members of Google’s TensorFlow team.
An introductory course on Applied AI at the intersection of Machine Learning and Embedded IoT Devices. We provide background on both topics and then dive into the unique challenges faced at that intersection point with hands-on assignments using TensorFlow, Google Colab, and Arduino.