Machine Learning and Algorithmic Challenges with Aleksander Madry

Aleksander Madry, Associate Professor at CSAIL, tackles key
algorithmic challenges in today’s computing as part of his work in
the Theory of Computation Group at CSAIL. His work is described as
re-thinking machine learning from the perspective of security and
robustness. Madry discusses the evolution of the human and machine
interaction and provides insight on adoption of M/L systems over
the next few years.