Deep Learning State of the Art (2019) - MIT

The state of deep learning of art and interesting experiences about the art worldПодробнее

Interpretable AI by Dimitris Bertsimas, MIT plus Opening of OR62 ConferenceПодробнее

MIT 6.S191 (2020): Generalizable Autonomy for Robot ManipulationПодробнее

Deep Learning State of the Art (2020)Подробнее

Beyond Empirical Risk Minimization: the lessons of deep learningПодробнее

Dimitris Bertsimas (MIT) Optimal Classification Trees and Interpretable AIПодробнее

Machine Learning Engineer reacts to State of AI Report 2019Подробнее

MIT Sloan Finance Beyond Crisis – Fintech Beyond Crisis, Gary GenslerПодробнее

MIT Professor Song Han, Hardware Design Automation for Efficient Deep Learning, Samsung ForumПодробнее

Karl Iagnemma & Oscar Beijbom (Aptiv Autonomous Mobility) - MIT Self-Driving CarsПодробнее

Drago Anguelov (Waymo) - MIT Self-Driving CarsПодробнее

MIT 6.S191 (2019): Convolutional Neural NetworksПодробнее

Self-Driving Cars: State of the Art (2019)Подробнее

MIT 6.S191 (2018): Introduction to Deep LearningПодробнее

Machine Learning in Surgery and CancerПодробнее