Notes on various applications of embedded ML / TinyML that are quite established.
How ML/DL is Disrupting Sensor Design. Compressed sensing. Random projections.
Rise of the super sensor. CMU has developed a generic 'synthetic sensor', using audio/vibration etc. "the revolution is to install a super sensor once, then all future sensing (and the actions based on that sensing) is a software solution that does not involve new devices"
Soft Robotics. Youtube video about easy-to-construct soft gripper with integrated resistive sensors. Could train algorithms to detect objects gripped.
Interesting projects realized using embedded machine learning / TinyML.
- RPS-RNN. Small physical device that can play Rock, Paper, Scissors slightly better than chance. Custom electronics and 3d-printed casing. 3-layer RNN running on 8-bit microcontroller, Attiny1614.