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Tuesday, November 17 • 1:00pm - 1:45pm
AT3: Practical Implementation of Cloud-Enabled AI

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Advances in Deep Learning enable new vision-based capabilities. This session shows a fun, practical demo of what can be achieved with the right approach and technologies, even without a Ph.D. in Machine Learning. It starts at the hardware level and then goes on to train a deep neural network and to learn how to optimize it for embedded devices, leveraging Amazon SageMaker Neo. On the device, this session uses Linux and AWS IoT Greengrass to connect with a cloud-based system using MQTT.

Speakers
avatar for Daniel Lang

Daniel Lang

CMO, Toradex
Daniel Lang has worked 16 years in the embedded industry - the last 14 years at Toradex, a leading provider of embedded computer modules. At Toradex, he helped to grow the Swiss startup into a global brand. Originally from Switzerland, he is now located in Seattle WA where he holds... Read More →


Tuesday November 17, 2020 1:00pm - 1:45pm PST
LL21A