This lecture explores the advancements in Digital Humanities from 2012 to 2032, focusing on the Time Machine project and the use of deep learning technologies for analyzing large-scale historical documents. It discusses the joint efforts between the DHLAB and the Bibliothèque nationale de France, the development of 'deep readers' for digitized documents, and the creation of a linguistic simulator for understanding linguistic evolution. The lecture also covers the challenges and progress in transcribing handwritten texts, building information graphs, and simulating historical events in a spatiotemporal context.