Additionally, the ideas here are well represented in mainstream deep learning research by the supposed energy offenders. For example, here are links representi

Additionally, the ideas here are well represented in mainstream deep learning research by the supposed energy offenders. For example, here are links representing practical applications using sparse inference, continuous multitask learning, and specialized hardware -- just by Google. The article is marketing to folks who care about the environment, but have limited background on modern ML (and perhaps also energy economics). [1] https://ai.googleblog.com/2021/03/accelerating-neural-networks-on-mobile.html https://ai.googleblog.com/2021/03/accelerating-neural-networ... [2] https://ai.googleblog.com/2022/03/robust-graph-neural-networks.html https://ai.googleblog.com/2022/03/robust-graph-neural-networ... [3] https://ai.googleblog.com/2021/04/multi-task-robotic-reinforcement.html https://ai.googleblog.com/2021/04/multi-task-robotic-reinfor... [4] https://cloud.google.com/tpu/docs/tpus https://cloud.google.com/tpu/docs/tpus