Attendees

Minutes

Discussed potential projects with Daniel
- Zeroing in on demonstrating an efficient fixed-point implementation of a neural network that fits in 64 kB data memory. Include ability to speed up and slow down CPU when processing is needed.
- Can we scale the processing to accommodate less memory (cuts down on leakage) and low peak power (enables continuous, but slow, processing when connected to energy scavenging sources)?
- What NN task should serve as a demonstrator?
- @Titan Yuan may have a fixed point implementation somewhere
- tinyML is a good project to look at too: https://tinyml.mit.edu/
@Titan Yuan on his way to ARPA-E summit
@Fil Maksimovic we need to have a small meeting to determine the scope of the SCuM workshop
- Tentatively set for 9am Pacific this Thurs