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Humans and Intelligent Machine Support through Robotics and Automation with Julie Shah
Julie Shah, Associate Professor, MIT

Julie Shah discusses the challenges and successes of designing and employing intelligent design teammates that aim to enhance human productivity in descion-making and physical tasks through using reverse engineering methods and computational models.

The Intersection of Finance, Cryptography and AI with Andrew Lo
Andrew Lo, Charles E. and Susan T. Harris Professor, MIT Sloan School of Management, and Director, MIT Laboratory for Financial Engineering

Andrew Lo shares insight into the collaborative research efforts of MIT CSAIL and MIT Sloan School of Management within the three distinct areas of cryptopgraphy, machine learning and AI, as well as discusses the

Cybersecurity Challenges and How They Impact IOT
Howard Shrobe, Director, Cybersecurity@CSAIL

Parallel Software and Anonymizing Networks with MIT CSAIL's Srini Devadas
Srini Devadas, Professor

MIT CSAIL professor Srini Devadas discusses computer architecture, computer security and their intersection.

Internet of Things with MIT CSAIL's John Leonard
John Leonard, Professor of Mechanical and Ocean Engineering and Associate Department Head for Research

While the promise of the Internet of Things (IoT) brings many new business prospects, it also presents significant challenges ranging from technology architectural choices to security concerns.

A Discussion with MIT CSAIL's Michael Stonebraker
Michael Stonebraker
A researcher at MIT’s Computer Science and Artificial Intelligence Lab, Stonebraker has founded and led nine different big-data spin-offs, including VoltDB, Tamr and Vertica - the latter of which was bought by Hewlett Packard for $340 million.
The Data Science Machine
Kalyan Veeramachaneni
The Data Science Machine is an end-to-end software system that is able to automatically develop predictive models from relational data.