@Katherine_Scott or @joespeed could you please elaborate on the meaning of this?
I created a table a while ago while announcing the HAWG comparing it to other WGs, so that the value was clear. I was advised not to disclose it at the time, but I keep it handy to ensure we continue adding value to the community. Here’re some of those bits that concern the Edge AI WG (collected from its official documentation):
| WG | Goal | Differences | Avenues for cooperation (aka intersection) |
|---|---|---|---|
Hardware Acceleration |
drive creation, maintenance and testing of acceleration kernels on top of open standards (OpenCL) for optimized ROS 2 and Gazebo interactions over different compute substrates (FPGAs, GPUs and ASICs). | ||
Edge AI |
make Edge AI easier and ubiquitous in ROS 2, specifically ML applied to navigation, perception & picking, inspection and motion planning. | Acceleration doesn’t focus particularly on AI nor on the more generic ML. Also, Acceleration doesn’t limit itself to edge and considers also workstations, data centers or cloud amongst the mediums. |
AI-powered algorithms across use cases may benefit from acceleration through specialized compute architectures including DPUs. |