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by microtonal
820 days ago
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I recently attended an interesting talk at a local conference. It was from someone that works at a company that makes heating systems. They want to optimize heating given the conditions of the day (building properties, outside temperature, amount of sunshine, humidity, past patterns, etc.). They have certain hard constraints wrt. model size, training/update compute, etc. Turns out that for their use case a small (weights fit in tens of KiB IIRC) multilayer perceptron works the best. There is a lot of machine learning out in the world like that, but it doesn't grab the headlines. |
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