ML at the edge has emerged as an important theme in the IoT community, and for good reason. As more products and devices become smarter through ML capabilities, decisions will need to be made to optimally leverage the computational and network resources of the devices, gateways, on premise data centers and the cloud. Additionally, some regulatory concerns make it difficult to leverage ML in the cloud, so extending these capabilities to the edge opens up new opportunities.
At TensorFlow Dev Summit last month, Google debuted a new Edge TPU device that brings ML inferencing to existing systems.
Read more about it here: https://www.theverge.com/circuitbreaker/2019/3/6/18253106/google-ai-developer-new-tools-dev-board-usb-accelerator-camera-coral
At tonight’s meetup, we will demonstrate how such devices, coupled with TensorFlow Lite, make it possible to run high performance inference at the edge, enabling some amazing new experiences!
About the Speaker:
Kevin Stanley is a Partner at Object Computing, Inc. (OCI) and leads the Industrial IoT Practice.
Pizza will arrive at 5:30. The talk will begin at 6:00. Please RSVP so we have enough refreshments for everyone!