NTTH22:
Neuromorphics Tools, Techniques and Hardware
Topic Leaders
Jennifer Hasler, Georgia Institute of Technology (jennifer.hasler@ece.gatech.edu)
Johannes Partzsch, TU Dresden (johannes.partzsch@tu-dresden.de)
Terrence C. Stewart, National Research Council Canada (terry.stewart@gmail.com)
Bernhard Vogginger, TU Dresden (bernhard.vogginger@tu-dresden.de),
Team
TBD
Invitees
TBD
Goal
This topic area is dedicated to providing hands-on access to neuromorphic hardware, with particular emphasis on SpiNNaker 2 and FPAAs. Participants will learn how to use the hardware, and will develop various projects as appropriate. These projects can be related to other Topic Areas, or completely independent.
Core Readings and Resources
Potential Projects
Text classification using FPAA / Braindrop / SPICE simulation
Characterizing the space of functions that can be well-approximated with different hardware (and how adjusting that hardware would affect that space of functions)
Comparing different sensor/perception approaches on SpiNNaker 2 to determine the most energy-efficient approach
Real-time perception on a mobile sensor platform.