Presented at
HOPE 2020 Virtual Rescheduled,
July 29, 2020, 8:30 p.m.
(180 minutes).
Arduino recently released their Nano 33 BLE Sense, which is an Arduino Nano equipped with an ARM Cortex-M4 and an array of sensors to be used in small form factor machine learning applications such as gesture recognition, voice control, and even facial recognition. In this workshop, participants will take an introductory look at Tensorflow Lite for the Arduino Nano, and learn how to train it for some use cases such as voice recognition and gesture control. For this workshop, it is not necessarily required to have an Arduino Nano 33, but you would greatly benefit from having one, as the focus will be on its applications.
https://wiki.hope.net/index.php?title=Teaching\_an\_Arduino\_to\_Think\_workshop
Presenters:
-
Corbin Frisvold
**Corbin Frisvold (@QuesoSec)** is a 16-year-old hacker and polymath, involved in many fields such as mathematics, physics, computer science, and electrical engineering. He attended his first infosec conference (BSidesDE) at six years old and hasn't looked back. Since then he has worked on many significant projects, including publishing research papers on evolutionary soft robotics, running a village for kids called SpawnCamp, and running a blog at maker.godshell.com. Currently he is working on projects involving machine learning and its applications to robotics.<br>
Links:
Similar Presentations: