Poll: How Beneficial Is It To Have Sensors with Machine Learning Cores?

Machine Learning (ML) is an application of Artificial Intelligence where a machine learns by itself or under supervision, without explicit programming. The system acquires the ability to learn and progress from experience sans compromising data accuracy spontaneously. Technological advancements enable ML cores to be embedded on a chip with multiple sensors. As discussed in a recent element14 tech spotlight, AI at the Edge: Inertial Sensors with Machine Learning Core , the ML processing capability permits the transference of several algorithms from the host processor to the sensor itself.

 

Poll Question: How Beneficial Is It To Have Sensors with Machine Learning Cores?

Poll Results
  • Extremely Beneficial (17%)
    4/24
  • Very Beneficial (17%)
    4/24
  • Interesting, but it ll depends on the use case (42%)
    10/24
  • Need to understand more about it (8%)
    2/24
  • Not sure how widespread value it will bring (17%)
    4/24
  • Other; Please Explain in comments (0%)
    0/24

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