ML vs. Climate Change, Applications in Energy at DeepMind

DeepMind has proved that machine learning can help us solve challenges in the Energy sector that contribute to climate change. DeepMind Program Manager Sims Witherspoon will share how they have applied ML to reduce energy consumption in data centers as well as to increase the value of wind power by 20% (compared to a baseline of no realtime commitments to the grid). Sims will also highlight insights the team has learned in their application of ML to the real-world as well as the potential for these kinds of techniques to be applied in other areas, to help tackle climate change on an even grander scale.