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The Rise of Smart Sensor: ML at the Edge

SEMI Global Headquarters 673 Milpitas Blvd. Milpitas, San Jose, CA 95035 Room: Seminar 4 Thursday, February 27
9:00am to 12:00pm

The Rise of Smart Sensor: ML at the Edge

Machine Learning is available for a different type of computing power, possible use cases for power-conscious smart sensors are growing in importance.  However, tools, libraries, and workbench have been mostly designed for a big data center. This tech course analyzes what type of use cases are possible with smart sensors, what tools are available and what are their limitations.

Syllabus 

        1. An introduction to Smart Sensors

  • Latest trends
  • Applications of Smart sensors
  • Next-generation of Smart sensors.

        2. Machine Learning Core (MLC) in Smart Sensor

  • AI on the Edge and requirements of a distributed intelligence system.
  • Introduction to MLC framework
    • Input data
    • Filters and Feature selection
    • Optimization
    • Tools
    • Rapid Prototyping with MLC: current consumption under 10 uA.

         3. Finite State Machines (FSM) in Smart Sensor

  • Introduction to FSM
    • Input data
    • Filters
    • FSM definition
    • Tools
  • Rapid Prototyping using FSM: Use Case: Gesture recognition

If you will be staying for lunch, please register for the Tech Course Networking Luncheon in addition to your course – it is complimentary to all Tech Course registrants. 

 

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