CSAIL Alliances Podcasts

Andrew Lo, Charles E. and Susan T. Harris Professor at MIT Sloan School of Management, and Director of MIT Laboratory for Financial Engineering, shares insight into the collaborative research efforts of MIT CSAIL and MIT Sloan School of Management within the three distinct areas of crytopgraphy, machine learning and AI, as well as discusses the progress of blockchain technology and cryptocurrency. He also offers a glimpse into the future of banking and finance and reveals the emerging technology of secured multi-party computation.

MIT CSAIL's Howard Shrobe, Director of the Cybersecurity@CSAIL initiative, discusses what led him to become involved in the industry of Cybersecurity, his experience with DARPA, and creating the cybersecurity programs of CRASH and MRC. Additionally, he shares insights as to the biggest challenges in cybersecurity today and how these challenges effect the development of the Internet of Things.

MIT CSAIL professor Srini Devadas describes computer architecture, computer security and their intersection. He gives further insight into the conflict between ease of programming and performance and the communication between these threads through parallel software, such as message passing or shared memory abstraction (e.g. Google Docs).

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. The concept of Internet of Things (IoT), which has roots at MIT, has begun to make an impact in industries ranging from industrial systems to healthcare. MIT researchers continue to conduct ground-breaking research on topics ranging from RFID to cloud technologies, from sensors to the World Wide Web. Learn cutting-edge tools and applications for this new evolution in hardware, software, and data from MIT's Computer Science and Artificial Intelligence Laboratory's IoT experts: http://bit.ly/1S4sIdp

A researcher at MIT’s Computer Science and Artificial Intelligence Lab, Michael 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. Now he’s bringing his insights to a new online course being offered this month through edX and MIT Professional Education. Co-taught by long-time business partner Andy Palmer, “Startup Success: How to Launch a Technology Company in 6 Steps” covers topics ranging from generating ideas and recruiting top talent to pitching VCs and negotiating deals - all in the span of three weeks.

The Data Science Machine is an end-to-end software system that is able to automatically develop predictive models from relational data. The Machine was created by Max Kanter and Kalyan Verramachaneni at the Computer Science and Artificial Intelligence Laboratory (CSAIL) at MIT.