• TinyML Applications Require New Network Architectures
    Why TinyML? Researchers have studied neural network compression for quite some time. However, the need for always-on compute has led to a recent trend towards executing these applications on even smaller...
  • TinyML Review: The Next Big Thing
    This year, just like everyone else, I decided I wanted to read more books. Like with paper. So, to help encourage these efforts, I am reviewing a book on ML every month. Starting a month late. This...
  • Sparse Architecture Search (SpArSe): Democratizing and Enabling TinyML on Arm M-class
    Microcontrollers (MCUs) are truly the ubiquitous computer of our time. They are tiny, cheap, and low power. They can often be powered indefinitely using a solar cell. They are in your watch, your fridge...
  • TinyML: TVM Taming the Final (ML) Frontier
    ***All content written in this blog by Logan Weber & Andrew Reusch from OctoML *** Executive summary: Optimizing and deploying machine learning workloads to bare-metal devices today is difficult,...
  • Keynote Speakers Announced for Arm Research Summit 2019!
    We are pleased to announce our three inspirational keynote speakers, and that early-bird registration for the Arm Research Summit 2019 is now open! Now in its fourth year, the Summit will be coming to...