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Machine Learning at the Edge- When, Why, How?  Part 1 of 3

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The IoT led to an explosion of data. Though it was once thought the cloud would handle this data, the industry soon realized this was impractical. As a result, edge computing has increased in popularity. One of the most fascinating things about edge computing is that it can be accomplished on a wide range of device categories, from MCUs to complex SoCs with high-end A-class cores, GPUs, and ML accelerators.


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Part 1:

November 14, 10:30 - 11:30 AM CST

- What is Edge Computing?

- Why is it needed?

- Challenges for implementation

When and Where

  • Start Time:

    Nov 14, 2018 10:30 AM CDT (America/Chicago)
  • End Time:

    Nov 14, 2018 11:30 AM CDT (America/Chicago)
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