Bringing Intelligence to Constrained Endpoint Devices
The ability to add greater levels of intelligence to endpoint devices opens up a huge variety of new use cases. However, achieving the required levels of DSP and ML compute performance in these devices - while meeting system cost and power constraints - presents several challenges.
Presented by:
Mark Quartermain, Director IoT Technology Management, Arm
Matthias Hertel, Senior Manager, Embedded Tools Integration, Arm
Watch this webinar to:
- Learn how Arm Helium vector processing technology can help meet the challenge outlined above.
- Watch a demonstration of how Arm tools and libraries can be used to efficiently target Helium.
- Find out about resources available to explore further.
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