Max Planck scientists explore the possibilities of artificial intelligence in materials science and publish their review in the journal Nature Computational Science. Enhancing machine learning with large data setsThere are still many open questions for the use of artificial intelligence in materials science: how to handle sparse and noisy data? How to consider interesting outliers or ‘misfits’? How to implement unwanted elemental intrusion from synthesis or recycling? However, when it comes to designing compositionally complex alloys, artificial intelligence will play a more important role in the near future, especially with the development of algorithms, and the availability of high-quality material datasets and high-performance computing resources. If provided, your email will not be published or shared