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Question of the Month: How will AI be deployed in embedded applications in five years’ time?

dychen

e14 Question of the Month

Artificial Intelligence has the potential to change many of the things we do. Take the poll and let us know how you think AI will be deployed in embedded applications, and please tell us why in the Comments section below!

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  • I think it will likely be a distributed mix of cloud (for non-latency sensitive, large models), edge (for latency-sensitive, medium-sized, privacy-concerned models) and on-device (for small, data-reduction, privacy preserving models to reduce bandwidth and transmission costs). No one-size-fits-all, but all aspects are under active development at this time.

    Dedicated AI processors will take some time to become mainstream, and while existing general purpose processors may be able to run small models relatively slowly, I think the move to AI processors will mainly be made for performance and energy efficiency reasons (but in turn, may introduce hardware-related model size and precision constraints).

    - Gough

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  • I think it will likely be a distributed mix of cloud (for non-latency sensitive, large models), edge (for latency-sensitive, medium-sized, privacy-concerned models) and on-device (for small, data-reduction, privacy preserving models to reduce bandwidth and transmission costs). No one-size-fits-all, but all aspects are under active development at this time.

    Dedicated AI processors will take some time to become mainstream, and while existing general purpose processors may be able to run small models relatively slowly, I think the move to AI processors will mainly be made for performance and energy efficiency reasons (but in turn, may introduce hardware-related model size and precision constraints).

    - Gough

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