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Talkat !!Con West 2019 · on Monday, 2019-03-25· [machine-learning]
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Smart microwave claims: steer standing waves with a board of paddle antennas to cook two items to different targets (salmon aimed 65–70°C), replay previously measured heating configs instead of simulating (a detailed EM sim takes ~10 minutes per config) and solve timing with non-negative least squares to mix basis heating vectors (three naive vectors give ~20° error; richer sets approach 5°C off target in realistic cases). Not using solid-state emitters because they cost $1 per watt and built hardware demonstrably produces a ~25°C difference between cups.

AI-written summary · about

  1. 0:00Start
  2. 0:25Smart Microwaves
  3. 1:15Controlled Cooking
  4. 2:43Level Ovens
  5. 4:19Function Fitting Summing Functions
  6. 4:58Function Fitting Reality
  7. 5:46Function Fitting Vectors
  8. 6:12Non Negative Least Squares
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