We can’t change how much the sun shines or how hard the wind will blow. But if we want to utilise renewable energy better, we need to take into account how weather and climate will change over time. Nicole Ludwig, an expert in machine learning and renewable energy systems, develops models that do just that.

The Bayesian formalism can add uncertainty to deep neural networks. But Bayesian deep learning has a reputation as cumbersome and expensive. No longer. Recent results show how to achieve calibrated uncertainty in deep networks efficiently, without affecting their predictive performance.