On-demand Webinar: Implementing AI in sensors to develop power-efficient personal electronics applications

Register to watch our one-hour webinar in replay to 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.

Create new opportunities in personal electronics with low-power AI sensor solutions

Based on our 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.

Reasons to watch:

Overview of ST's sensors with an in-sensor classification engine for always-on applications

How to develop an MLC application from the very beginning using ST tools for an enhanced user experience

Customer testimonial of a successful real-life use case

Speakers

Lisa Trollo

AI Division Product Champion

After joining ST in 2012, Lisa played an important part in the development of consumer, automotive and industrial MEMS and Sensors products and solutions, especially for the smartphone market. Since 2020, she is a key player in ST's Artificial Intelligence team, managing the development ecosystem and helping define our AI strategy and roadmap.

Federico Iaccarino

Validation & HW Support Engineer - MEMS Sensors

With over 5 years' experience as a validation engineer (systems and methodologies) for ST's MEMS & sensors, Federico joined our marketing team this year where his expertise in accelerometers, gyroscopes and inertial modules is greatly appreciated by our customers.

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On-demand Webinar: Implementing AI in sensors to develop power-efficient personal electronics applications

Speakers

Lisa Trollo

AI Division Product Champion

Federico Iaccarino

Validation & HW Support Engineer - MEMS Sensors

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