Machine Learning Systems with TinyML: Join the Open-Source Movement to Accelerate ML Development at the Edge
We are excited to introduce “Machine Learning Systems with TinyML” an open-source textbook written, edited
We are excited to introduce “Machine Learning Systems with TinyML” an open-source textbook written, edited
Microscopy is widely used in biology, medicine, physics, and material science to enable scientists to
Through collaborating with FFA and Seeed, Microsoft developed “FarmBeats for Students Program” to facilitate technological empowerment of young people to learn about AI, Machine learning, and IoT in agriculture. This affordable, hands-on and learning-by-doing education can enable the students to understand automatic irrigation and fertilization applications, crop yield prediction, and pragmatic tools to tackle the world’s hunger issues. Thereby, this Program seeks to accelerate the UN’s SDGs 2, 10, 4, 1, 5, 9, 8, 6, 7, 12, 11, 13 and 17.
Smart Citizen Kit is a completely open-source environmental monitoring device developed for the global Smart Citizen Project by Seeed, Fab Lab Barcelona, IAAC, and European Commision. This Kit allows citizens to easily measure, collect, integrate, and visualize data on an openly-shared platform that will help the citizens to tackle local challenges in their communities. This Project seeks to influence the UN’s SDGs 1, 12, 3, 16, 17, 13, 4, 6, 10, 5 and 9.
Code Jumper Kit is an innovative educational tool designed for students with visual difficulties to enhance their computer coding and programming skills, developed by Microsoft, APH and Seeed. The Project facilitates students to gain access to, and learn about the latest technological information with joy, through which they can be self-empowered to do whatever they put their minds to do at present and in the future. By and large, Code Jumper Project contributes to the UN’s SDGs 4, 10, 8, 1, 17, 9, 16 and 5.
For Stanford University’s open source haptic device called Hapkit, Seeed designed and made an all-in-one controller board called “Hapkit Board” to reduce the costs on microcontrollers and amplifications that support the Hapkit. This Hapkit Project witnessed a dramatic cost reduction in building educational haptic devices compared to previous models, as well as facilitated convenient learning for learners without mechanical knowledge. In this way, this Project contributes to the UN’s SDGs 4, 5 and 17.