tinyML Talks: No-Code Edge ML

Adding ML-driven features to an embedded system has typically involved a lot of engineering work to integrate software like TensorFlow Lite Micro into your existing code, as well as the effort involved in gathering training sets and building models. In this talk, Pete will discuss how “ML Sensors” can make adding common capabilities like presence detection, gesture recognition, and voice interfaces to your projects as easy as connecting a simple hardware component like a sensor. As well as covering the integration and privacy advantages of hosting ML on a separate module, he’ll also discuss his startup Useful Sensors, and the first “Person Sensor” they’re releasing.

Date

November 1, 2022

Location

Virtual

Contact us

Discussion

Schedule

Timezone: PDT

No-Code Edge ML

Pete WARDEN, CEO

Useful Sensors

Pete WARDEN, CEO

Useful Sensors

Pete is the CEO of Useful Sensors, a startup that builds small, low-cost, and private by design modules that provide machine learning capabilities like presence detection, gesture recognition, and voice interfaces. He was previously CTO of Jetpac, acquired by Google in 2014, a founding member of the TensorFlow open source framework, and technical lead for its on-device team until 2022. He wrote the TinyML book from O’Reilly, teaches at Stanford, as well as pursuing a PhD in Computer Science there.

Schedule subject to change without notice.