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Implementing AI in sensors to develop power-efficient electronics applications

Brought to you by CW (Cambridge Wireless)

Join Anglia and STMicroelectronics for a one-hour webinar where you will learn how you can develop AI applications with ultra-low power consumption for battery-operated IoT, gaming, wearables and personal electronics.

About the event

Join Anglia and STMicroelectronics for a one-hour webinar where you will learn how you can develop AI applications with ultra-low power consumption for battery-operated IoT, gaming, wearables and personal electronics.

Discover how ST's solution will significantly help reduce energy consumption, provide more computational power and ensure better overall system efficiency.

Based on the ST LSM6DSOX iNEMO 6-axis inertial module with an embedded Machine Learning Core, Finite State Machine and advanced digital functions, this webinar will also look at how our development tools can help you create innovative MLC-enabled applications in just a few steps.

The webinar will include;

  • A brief history and market challenges
  • An overview of ST's sensors with an in-sensor classification engine for always-on applications  
  • A summary of the evaluation tools and their key features
  • Understanding the Machine Learning Core (MLC)  and Finite State Machine (FSM)
  • How to develop a Machine Learning Core (MLC) application from the very beginning using ST tools for an enhanced user experience
  • A customer testimonial of a successful real-life use case

The option of samples or an evaluation board will be available to all attendees.

This session is free to attend.

You can follow @CambWireless on Twitter and tweet about this event using #CWWorkshop.

In collaboration with Anglia

Anglia is the UK’s leading independent authorised distributor of semiconductors, optoelectronics, interconnect, and passive and electromechanical components.

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In collaboration with STMicroelectronics

STMicroelectronics is a world leader in providing the semiconductor solutions that make a positive contribution to people’s lives, today and into the future.

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Agenda

Expand all

The information supplied below may be subject to change before the event.

14:00

Welcome from Chair Andrew Pockson, Anglia

14:05

Chris Young, Applications Engineer , STMicroelectronics

Chris will explore ST's solution will significantly help reduce energy consumption, provide more computational power and ensure better overall system efficiency. His talk will include:

- A brief history and market challenges
- An overview of ST's sensors with an in-sensor classification engine for
always-on applications
- A summary of the evaluation tools and their key features
- Understanding the Machine Learning Core (MLC) and Finite State Machine
(FSM)
- How to develop a Machine Learning Core (MLC) application from the very
beginning using ST tools for an enhanced user experience
- And will include a customer testimonial of a successful real-life use
case

14:50

Q & A

15:00

Event Closes

Speakers

Chris Young - Applications Engineer, STMicroelectronics

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