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heliosAtwork

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heliosAtwork
·27 日前·議論
Old data historians use swinging-door compression algorithms (a lossy compression). Would something like TimescaleDB make this unnecessary for IoT?

https://docs.aveva.com/bundle/pi-server-s-da-admin/page/1022...
heliosAtwork
·先月·議論
It can be used to generate synthetic data to train physical AI for robots, cars, drones, etc. The world can be simulated from first person perspective to generate training data without sending robots to peoples homes.