webinar register page

Webinar banner
Get started with AI at the Edge with a workshop from Arm
At Arm, we want to democratise AI and help our developers by removing barriers to entry, and drive adoption of key standards on whatever device they choose. From CMSIS-Packs – a standardised delivery mechanism for software components, board support information and more – to Arm Virtual Hardware and Keil Studio Cloud; Arm has you covered in your AI development and deployment on the edge.

In this talk, Arm’s ML Ecosystem Engineering team will walk you through how you can use all the above in your workflows through a working example and very exciting demo.

Throughout the demo and this talk, you will learn:
- How you can use the CMSIS-Packs created by the team to help create your own ML applications – from keyword spotting to speech recognition, to image segmentation and many more.
- How modern development tools like Keil Studio Cloud, together with our Arm Virtual Hardware offering, expedite your development and deployment to Arm-based silicon
- How all these efforts work so well with key Arm initiatives of Arm Total Solutions for IoT and Project Centauri.

You will be able to directly access and try out the resources shared during this talk immediately afterwards so make sure you sign up!

This talk is part of the Arm Tech Talk Series: https://www.arm.com/techtalks

Arm will process your information in accordance with our Privacy Policy:
https://www.arm.com/company/policies/privacy.

Dec 6, 2022 04:00 PM in London

Webinar logo
Webinar is over, you cannot register now. If you have any questions, please contact Webinar host: Tobias McBride.