Make money doing the work you believe in
Of the three mentioned, I’m pretty interested in the grid optimization side of things. There is some good research about how new evolutions of AI can improve this-
“Our method shows promise in the field of EDA by illustrating how reinforcement learning can address some of the challenges associated with large-scale circuit optimization. In terms of future applications, our framework could be extended to address multi-objective optimization tasks in circuit design, optimizing power, performance, and area simultaneously. It has the potential to assist in decision-making for various design tasks such as placement, pin assignment, routing, and timing optimization, enhancing the overall design process.“- From the paper, “An efficient leakage power optimization framework based on reinforcement learning with graph neural network”