A new and very unusual chip design made by IBM provides a distinct approach to cutting AI's energy costs. The company's new NorthPole processor has taken some of the ideas behind previous approaches and merged them with a very stripped-down technique for running calculations to create a highly power-efficient chip that can efficiently execute inference-based neural networks. The chip can be up to 35 times more efficient than relying on a GPU for things like image classification or audio transcription.