Track 3 - Embedded AI for Biosignal Processing

Hands on tutorials to work on porting embedded AI applications for biosignal processing to state of the art heterogeneous IoT processors from Greenwaves Technologies (GAP8/GAP9).

You will learn:

An introduction to shared-memory many-core architectures
Issues in explicit memory management, tiling, DMA transfers
Working with 16-8bit data formats to fit data into memory, quantization
Programming the devices
Interfacing sensors, collecting data
Running your programs, debugging

Course will be in English with support from POLITO, ETH Zurich

Nine 2-hour modules with > 50% hands on exercises in computer laboratory.

Limited to 25 participants

Prerequisites: General knowledge on ML algorithms, basic programming in C/C++ or similar