Attendees

1. @David Burnett

2. @Fil Maksimovic

3. Daniel Finell

4. @Titan Yuan

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: Tiny Machine Learning Projects

• @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