We have always learned from machines but now, machines learn. Machinic processes, computational algorithms and artificial intelligence have never been so proximate, direct, and intimate to daily life, yet we are many steps removed from their practical operations. This issue of Volume, the third in our Learning series, seeks to understand the contemporary relevance of machines for architecture.