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Streamlining Development of Edge AI Applications


Date:  Tuesday, May 25

Start Time: 1:30 pm

End Time: 2:00 pm

Edge AI provides benefits for cost, latency, privacy, and connectivity. Developing and deploying optimized, accurate and effect AI on edge-based systems is a time-consuming, challenging and complex process. In this session, you will learn how NVIDIA makes it easier for developers to build, deploy, maintain and manage embedded edge products, and you will have an opportunity to get your questions answered by NVIDIA leaders focused on Jetson, JetPack, DeepStream, pre-trained models and the Transfer Learning Toolkit. NVIDIA Jetson brings accelerated AI performance to the edge in a power-efficient and compact module form factor. Together with NVIDIA pretrained models, Transfer Learning Toolkit, DeepStream and JetPack SDK, these Jetson modules open the door for you to develop and deploy innovative products across all industries.

Track

Session Speakers

  • Barrie Mullins is the Director of Technical Marketing for Embedded and Autonomous Machines at NVIDIA, where he is focused on enabling customers and the Jetson ecosystem to bring Deep Learning and AI to edge systems. For over 20 years he has been engaged in developing, launching and growing innovative and leading-edge embedded products. He started his career as an embedded design engineer in Ireland and moved to San Jose to extend his influence and impact in the technology space. Barrie has an MBA from Santa Clara University, a Master’s in Engineering Management from University College Dublin and a Bachelor of Engineering from Cork Institute of Technology. He enjoys spending time with his family, is passionate about the outdoors and an avid golfer and runner.


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Streamlining Development of Edge AI Applications