Machine Learning Meets Real World, Deploying Solutions on Embedded Processors | NXP 半导体

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Machine Learning Meets Real World, Deploying Solutions on Embedded Processors

Machine Learning Meets Real World, Deploying Solutions on Embedded Processors

About This Training

With endless possibilities for machine learning (ML) at the Edge, designing for ML applications is at the forefront of embedded engineers’ minds. Join this roundtable session to explore some of the top considerations when developing and running your machine learning models on embedded processors in the real world.

Experts from NXP and its partners will discuss some of the design considerations and trends in the market, including considerations for data, training and model selection options all the way to deployment for IoT, security and industrial applications.

Presentation

Machine Learning Meets Real World, Deploying Solutions on Embedded Processors

What You Will Learn

Review top development considerations and advice for deploying a machine learning solution
Learn about NXP's introduction to NXP’s machine learning hardware and software solutions
Get introduced to Arcturus' Brinq Analytics applications
View an introduction to Basler’s embedded vision system and solutions

Presented by

Ali Osman Örs
Director, AI and ML Strategy and Technologies, Edge Processing, NXP Semiconductors
Thies Möller
Chief Engineer, Basler AG
David Steele
Director of Innovation, Arcturus

时长

31 min

语言

英语

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我们致力于不断提升。

欢迎参加调查问卷。

Additional Resources

eIQ^® Machine Learning Software Development Environment

i.MX 8M Plus Applications Processors

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