Sensors Expo & Conference 2020

Machine Learning (ML) is now possible on sensor devices themselves - enabling more functionality, efficiency, and privacy as a result. From lower-latency predictive maintenance to commercial person detection without cloud data collection, embedded ML offers a way to gain insights and extract more value at the sensor source. As the device software is created through training using sensor data examples it offers the possibility for highly customized applications without needing deep embedded software expertise. It also opens up huge possibilities for IoT as the low bandwidth, high information output from embedded ML inference is ideal for low-power wide area communication technologies like LoRa or 5G cellular LTE Cat-M or NB-IoT.

With billions of microcontrollers in combination with thousands sensors continually digitizing the world around us the possibilities are immense - but there are still challenges. Where do you start in developing the applications? How much ML knowledge do you need? What are the implications for security and privacy? What algorithms are most appropriate for different sensor and application types?

In this symposium, industry leaders and innovative start-ups will discuss how to overcome these challenges to deliver compelling state-of-the-art commercial solutions.

Symposium Schedule:
9:00AM-9:35AM |  Welcome & Introduction - Dominic Pajak, Arduino

9:35AM-10:15AM | How TinyML Can Help You Build Smart Sensors - Peter Warden, Google

10:15AM-10:45AM | Machine Learning for Embedded Developers: No Previous Experience Required - Daniel Situnayake, Edge Impulse

10:45AM-11:00AM | Networking Break

11:00AM-11:30AM | Next Generation Machine Learning for Mobile & Embedded Platforms - Chris Harrison, Qeexo

11:30AM-12:00PM | Coming Soon

12:00PM-12:30PM | Coming Soon

12:30PM-1:30PM | Lunch

1:30PM-2:00PM | Coming Soon

2:00PM-3:00PM | Democratizing Machine Learning
Moderator: Dominic Pajak, Arduino
Panelists: Chris Harrison, Qeexo 
Daniel Situnayake, Edge Impulse 
Peter Warden, Google
Nvidia Speaker Coming Soon

3:00PM-3:15PM | Networking Break

3:15PM-3:45PM | Coming Soon

3:45PM-4:15PM | Delivering Medical Sensors: Overcoming the Challenges Facing Wearable Devices - Walt Maclay, Voler Systems

4:15PM-4:45PM | Coming Soon

4:45PM-5:00PM | Closing Remarks - John Koon, Tech Idea Research