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Member's Forum Question of the Month: How will AI be deployed in embedded applications in five years’ time?
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  • Replies 20 replies
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  • edge computing
  • artificial intelligence
  • Embedded Systems
  • machine learning
  • ai
  • iot
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Question of the Month: How will AI be deployed in embedded applications in five years’ time?

dychen
dychen over 2 years ago

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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Top Replies

  • DAB
    DAB over 2 years ago +3
    The problem with using AI with sensors is that you do not have control over the result. If you cannot predict what the output will be, you have a high risk system, which should be avoided for anything…
  • bradfordmiller
    bradfordmiller over 2 years ago in reply to dougw +3
    I think it's essentially "applied statistics"; a turn on prior work on data mining. I did research in symbolic reasoning for about 30 years, and while I think learning is essential, what's being called…
  • dougw
    dougw over 2 years ago in reply to bradfordmiller +3
    Yes. Unfortunately the tech crowd want their software to seem snazzy, so they call it AI. Probably not an ideal image because the average person doesn't think AI is snazzy, they just think it is scary…
Parents
  • dang74
    dang74 over 2 years ago

    I am not very well versed in AI so I might not be in the best position to predict its future trends.  Anyway I chose the option that sees most processing occur in the cloud.  This general approach saves manufacturers the cost of manufacturering specialized chips and they can harness the power of connectivity.  Although we take it for granted a mind staggering about of data can be exchanged every second.  Finally I think the opportunity for the AI companies to charge for some these cloud services will be irresistible.

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  • dougw
    dougw over 2 years ago in reply to dang74

    You are correct that large companies are working hard to make cloud services seductively irresistible because it is good for their bottom line. But it is a see-saw battle. As mainframe power became available in a PC, consumers bought PCs instead of mainframe terminals. Then servers were introduced to handle big data, but eventually consumers could afford terrabyte storage devices. Now the cloud is even more seductive, but technology will become affordable that allows individuals to remain independent. This balance between corporate interests and individual interests will become increasingly important as humans become more augmented by technology.

    Would you rather have your own computer sifting the Internet for information or have advertisers paying Google nd Microsoft to dictate what you get to see? 

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  • dougw
    dougw over 2 years ago in reply to dang74

    You are correct that large companies are working hard to make cloud services seductively irresistible because it is good for their bottom line. But it is a see-saw battle. As mainframe power became available in a PC, consumers bought PCs instead of mainframe terminals. Then servers were introduced to handle big data, but eventually consumers could afford terrabyte storage devices. Now the cloud is even more seductive, but technology will become affordable that allows individuals to remain independent. This balance between corporate interests and individual interests will become increasingly important as humans become more augmented by technology.

    Would you rather have your own computer sifting the Internet for information or have advertisers paying Google nd Microsoft to dictate what you get to see? 

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  • bradfordmiller
    bradfordmiller over 2 years ago in reply to dougw

    Personally, I refuse to fully trust 'cloud' until homomorphic encryption becomes widely available and deployed.

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  • dang74
    dang74 over 2 years ago in reply to dougw

    See-saw is a great word for the back and forth rivalry between cloud and  closed system approaches.  Although I was predicting cloud being dominant I prefer a self contained implementation.  Part of this is because like you I don't like the intrusions of private companies using the data for targeted advertising but I'm also unimpressed by how useless my Google Home assistant becomes  once its internet connection is lost.  Its total reliance on outside data and algorithms to operate has inspired me to coin the term Artifical Artificial Intelligence.  The self contained implementations are much more interesting to me.  The way you 'taught' your HuskyLens to recognize different types of bugs is a recent example of this.

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