AI Engineering for Global Impact
Insights, tutorials, and stories from the TinyML community
ExternalMLSysBook Newsletter
This edition of the our AIEng4D newsletter comes directly from members of our AIEng4D team working to expand access to practical AI engineering education...
ExternalMLSysBook Newsletter
Join the AIEng4D Community at AI for Good Global Summit 2026 We’re excited to share that members of our community will be contributing to the 2026 AI for...
ExternalMLSysBook Newsletter
Editor's Note This month's team newsletter comes from Jeremy Ellis, High School Robotics and Machine Learning Educator in British Columbia, Canada, and Co-...
ExternalMLSysBook Newsletter
Most ML engineers I interview can build a model. Many cannot tell you why it runs as fast as it does, costs what it costs, or whether it will fit on the hardware they plan to deploy it on. That gap has a shape. Three years of curriculum-building gave it a name: the Builder's Stack.
ExternalMLSysBook Newsletter
Training Activities of the TinyML4D Network From a Simple Idea to a Global Movement… Tiny Machine Learning — the ability to run machine learning models on...
MLSysBook Newsletter
Hello everyone, We’re excited to bring the community back together tomorrow for our 3rd TinyTorch Community Gathering! (Newcomers welcome!) In this session...
ExternalMLSysBook Newsletter
Most developers now use AI tools. Very few build the systems underneath them. In ML systems, failures propagate upward through the stack. Understanding flows downward. That asymmetry is the most expensive gap in the industry.
ExternalMLSysBook Newsletter
This month’s team newsletter highlights work led by researchers Jesús Alfonso López, Carlos Peláez, Andrés Solano, and Paola Andrea Castillo Beltrán at...
ExternalMLSysBook Newsletter
Our TinyML Show&Tell sessions continue to highlight an encouraging trend: students around the world are not only learning about embedded AI, they are...
