EmpaQuarterly – our Magazine
# 61 / July 2018 / Focus: Machine learning
Artificial intelligence will change our lives in the coming years – just as dramatically as the triumphant advance of smartphones. New opportunities are also opening up in materials research. Empa scientists use self-learning systems to process the pinpointed chemical modification of wood, blast rocks with electrical charges and monitor the quality of 3D-printed metallic workpieces – while they are being produced. In this issue of EmpaQuarterly you will see how “machine learning” works in general and what it can achieve especially in the field of materials science.