From 3D model to AI on the Edge

Synthetic data is an inexpensive alternative to real world data that is used to train and improve AI models. In order to train accurate AI models, a large amount of data is needed. With use of realistic 3D models you can easily create synthetic data for AI classification and object detection. In this session you will see how synthetic data can be created, and how this data can be used to train AI models that will be used on the Edge. Azure Percept will be used for a demo of how model trained with synthetic data works on the Edge.

About our speaker:
Goran Vuksic works as a Engineering manager for Pandora, he is Microsoft AI MVP, he has 15 years of work experience in IT and wide knowledge about various technologies and programming languages.

He worked on various projects for notable clients and projects he worked on have been featured many times on web sites like Forbes, The Next Web, NVIDIA Developer, TechCrunch, Macworld and others. Goran is a tech enthusiast, he writes technical blog posts and he likes to share his wide knowledge on different workshops and talks.

17:00 – 17:05 Welcome
17:05 – 17:55 From 3D model to AI on the Edge
17:55 – 18:05 Q&A


January 12


05:00 pm - 06:00 pm

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Past events

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