At the Quantum Technology User Meeting 2022 Natalia Ares from the University of Oxford shared her work on using machine learning to tune up semiconductor quantum devices. In her experiments, fast and high-fidelity readout of the state of the quantum devices is a crucial ingredient to generating the large datasets needed to train the AI agents. Already now, machine learning improves the speed and reliability of tuning up semiconductor quantum dots, and it enables faster and more reliable qubit experiments on this platform