Talk from StampedCon IoT Summit 2018 https://stampedecon.com/iot-summit-2018-st-louis/

1. Edge Computing And Machine Learning
for Better Low-Power Sensors.

2. Edge Computing And Machine Learning
for Better Low-Power Sensors.

3. Edge Computing And Machine Learning
for Better Sensing.

4. Edge Computing And Machine Learning
for Better SENSE AND CONTROL.

5. Edge Computing And Machine Learning
for A Better INTERNET OF THINGS.

6. Edge Computing And Machine Learning
for A Better INTERNET OF THINGS.

7. Better?

8. MORE ACCURATE SENSING.

9. FASTER DECISIONS.

10. FASTER SENSE, INFER & ACT.

11. MORE EFFICIENT USE OF BATTERY POWER.

12. Fybr is an integrated stack of
technologies that reliably &
efficiently connect physical assets
and infrastructure to make them
monitorable and controllable by
intelligent, data-driven algorithms.

13. https://vimeo.com/233589916

14. THE PHYSICAL WORLD IS NUANCED.

15. WHICH MAKES IT DIFFICULT FOR COMPUTERS
TO INFER WHAT IS GOING ON.

16. REAL WORLD EXAMPLE: THIS IS WHAT A CAR ARRIVING IN
PARKING SPACE LOOKS LIKE TO A MAGNETOMETER …

18. THIS IS WHAT HAPPENS IF THERE IS A
HIGH VOLTAGE POWERLINE NEAR THE SENSOR …

20. THIS IS WHAT HAPPENS IF THERE IS A
TRAIN PASSING NEARBY OR A SUBWAY UNDERNEATH …

22. HERE IS A REAL INSTANCE OF A BUS IN WASHINGTON D.C.

23. https://goo.gl/PQQgHp

24. THIS IS WHAT IT LOOKED LIKE IN THE DATA …

25. https://goo.gl/E514dk

26. THE PHYSICAL WORLD IS INCREDIBLY NUANCED.

27. EVERY SENSOR’S ENVIRONMENT IS UNIQUE.

28. SIMPLE IF/ELSE logiC BECOMES IMPOSSIBLE.

29. WHICH MAKES IT DIFFICULT TO BE ACCURATE.

30. AND DIFFICULT TO SCALE.

31. HOW DO WE ENABLE MILLIONS OF ACCURATE SENSORS?

32. EACH DEVICE MUST LEARN ITS ENVIRONMENT.

33. MACHINE LEARNING REQUIRES A LOT OF COMPUTATION
AND CAN ONLY HAPPEN IN THE CLOUD …

34. HOWEVER, IF WE SEND ALL OBSERVATIONS
TO THE CLOUD TO MAKE DECISIONS …

35. IT WILL TAKE TOO LONG TO MAKE DECISIONS.

36. IT WILL TAKE TOO MUCH POWER TO SEND ALL OBSERVATIONS.

37. MANY POWERFUL USE CASES BECOME UNVIABLE.

38. WE MUST LEARN IN THE CLOUD.

39. SENSE, INFER & ACT AT THE EDGE.

40. LEARNED DECISION MODELS MUST BE FREQUENTLY PUSHED TO THE EDGE.

41. THIS, IF NOT DONE CAREFULLY, CAN BE
catastrophic.

42. YOU COULD ACCIDENTALLY PUSH CODE THAT KILLS YOUR
ABILITY TO COMMUNICATE WITH MILLIONS OF DEVICES
SPREAD AROUND THE WORLD.

43. LEARNED DECISION MODELS MUST BE SAFELY & FREQUENTLY PUSHED TO THE EDGE.

44. A SYSTEM THAT HELPS DEVICES TO COLLECTIVELY
LEARN AND SAFELY MAKE FAST, EFFICIENT DECISIONS
AT THE EDGE IS A PREREQUISITE FOR A RELIABLE,
SECURE & SCALABLE INTERNET OF THINGS.

45. Mrinal Wadhwa
Chief Technology Officer
twitter.com/mrinal
linkedin.com/in/mrinalwadhwa