Corbin Frisvold

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

Machine learning has lately hit the buzz word spotlight. Finding both practical and impractical applications in fields from neuroscience to information security to... ranking bachelor contestants? This talk will cover some of the basics of manipulating and evading machine learning systems of all kinds, including how to confuse some military or government surveillance systems. This will cover the most common and useful attacks, how to apply them, and how to defend against these in the future. This is useful both for testing systems, as well as understanding how to specify and build them.

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