Announcing tinyML Talks on April 20th, 2021
IMPORTANT: Please register here
Once registered, you will receive a link and dial in information to teleconference by email, that you can also add to your calendar.
8:00 AM – 9:00 AM Pacific Daylight Time (PDT)
Massimo Banzi, co-founder of the Arduino project, Arduino
“tiny machine learning with Arduino”
Join this TinyML Meetup to hear how to build and deploy machine learning applications, to recognize spoken keywords, gestures, or even people on microcontroller-based Arduino boards. During this talk, Co-founder of Arduino, Massimo Banzi will show how you can use a low-code approach, typical to Arduino, to create tiny machine learning projects with Arduino through a series of practical examples.
Massimo Banzi is the co-founder of the Arduino project. He is an Interaction Designer, Educator and Open Source Hardware advocate. He has worked as a consultant for clients such as: Prada, Artemide, Persol, Whirlpool, V&A Museum and Adidas. Massimo started the first FabLab in Italy which led to the creation of Officine Arduino, a FabLab/Makerspace based in Torino. He spent 4 years at the Interaction Design Institue Ivrea as Associate Professor. Massimo has taught workshops and has been a guest speaker at institutions allover the world. Before joining IDII he was CTO for the Seat Ventures incubator. He spent many years working as a software architect, both in Milan and London, on projects for clients like Italia Online, Sapient, Labour Party, BT, MCI WorldCom, SmithKlineBeecham, Storagetek, BSkyB and boo.com.
Massimo is also the author of “Getting Started with Arduino” published by O’Reilly. He is a regular contributor to the Italian edition of Wired Magazine and Che Futuro, an online magazine about innovation. He currently teaches Interaction Design at SUPSI Lugano in the south of Switzerland and is a visiting professor at CIID in Copenhagen.
We encourage you to register earlier since on-line broadcast capacity may be limited.
Note: tinyML Talks slides and videos will be available on the tinyML website and tinyML YouTube Channel afterwards, for those who missed the live session. Please take a moment and subscribe to the YouTube channel today: https://www.youtube.com/tinyML