The Future of Machine Intelligence: Perspectives from Leading Practitioners

Advances in both theory and practice are throwing the promise of machine learning into sharp relief. The field has the potential to transform a range of industries, from self-driving cars to intelligent business applications. Yet machine learning is so complex and wide-ranging that even its definition can change from one person to the next.

The series of interviews in this exclusive report unpack concepts and innovations that represent the frontiers of ever-smarter machines. You’ll get a rare glimpse into this exciting field through the eyes of some of its leading minds.

In these interviews, these ten practitioners and theoreticians cover the following topics:

Anima Anandkumar: high-dimensional problems and non-convex optimizationYoshua Bengio: Natural Language Processing and deep learningBrendan Frey: deep learning meets genomic medicineRisto Miikkulainen: the startling creativity of evolutionary algorithmsBen Recht: a synthesis of machine learning and control theoryDaniela Rus: the autonomous car as a driving partnerGurjeet Singh: using topology to uncover the shape of your dataIlya Sutskever: the promise of unsupervised learning and attention modelsOriol Vinyals: sequence-to-sequence machine learningReza Zadeh: the evolution of machine learning and the role of Spark