Best Practices for Embedded AI Platforms – NVIDIA Jetson

Course Reminder

This week, the Jishu Community will bring new public courses for all technology enthusiasts and learners! On Thursday evening at 8 PM, there will be a technical sharing session on Best Practices for Embedded AI Platforms – NVIDIA Jetson, don’t miss it!

Best Practices for Embedded AI Platforms – NVIDIA Jetson

NVIDIA Jetson is an embedded computing platform known for its low power consumption, high performance, and compact size, enabling the deployment of AI applications across various industries. What products, software stack, and industry solutions does NVIDIA Jetson offer? This course will systematically introduce the Jetson hardware platform, software resources, ecosystem, and application use cases.

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Broadcast Time:

June 17, 2021, 20:00

Content Introduction:

NVIDIA Jetson Overview
NVIDIA Jetson Software Architecture
NVIDIA Jetson Software Resources and Applications

Instructor Introduction:

Li Yuqian (Lily)

Director of Developer Relations at NVIDIA Jetson, with years of experience in autonomous robot development, previously worked at Avibots and JD.com’s autonomous driving R&D department, currently responsible for Jetson’s autonomous machine technical solutions and ecosystem development at NVIDIA.

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