Big Data

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  • As the director of MIT’s BigData@CSAIL industry initiative, and the co-director of the more research-focused Intel Science and Technology Center (ISTC) for Big Data, EECS professor and CSAIL principal investigator Sam Madden talks with the MIT News Office about the growing complexity of data. From social networks and images to real time financial transactions, Madden talks about the issues (and opportunities) of what to do with this data. Read more.
  • Today, March 12, 2014, marks the 25th anniversary of Tim Berners-Lee's proposal for managing general information about accelerators and experiments at CERN, the European Organization for Nuclear Research based in Geneva where Berners-Lee worked at the time as a software engineer. He proposed building a distributed (global) hypertext system which he initially called "Mesh" updating it a year later to the "World Wide Web" as he wrote the code. Read more.
  • CSAIL Principal Investigator Srini Devadas and three former students have been selected as the 2014 winners of the Most Influential Paper Award at a prestigious systems research conference. Read more.
  • Computer Science and Artificial Intelligence Laboratory's (CSAIL) Aude Oliva, associate professor of cognitive science at MIT's Brain and Cognitive Sciences working with her CSAIL colleagues including Antonio Torralba, associate professor in MIT's Electrical Engineering and Computer Science Department and also a member of in the MIT Computer Vision Group has developed an algorithm to slightly modify a person's face — making it more memorable without altering that person's overall appearance.
  • Professor Piotr Indyk and members of his group in the Computer Science and Artificial Intelligence Lab (CSAIL) have developed an algorithm that betters his (and Prof. Dina Katabi's) work to develop a faster than fast Fourier Transform in 2012. The new algorithm that uses the minimum possible number of samples to analyze signals has the potential to allow advances in medical devices such as magnetic resonance imaging (MRI) and nuclear magnetic resonance (NMR) machines to scan patients.
  • The Big Data Initiative at the MIT Computer Science and Artificial Intelligence Lab (CSAIL) today announced two new activities aimed at improving the use and management of Big Data. The first is a series of data challenges designed to spur innovation in how people use data to solve problems and make decisions. Read more.
  • Using artificial intelligence tools including probabilistic graphical models, Ying Liu, EECS graduate student working with Alan Willsky, EECS professor and director of the Laboratory for Information and Decisions Systems (LIDS) has developed a technique that can efficiently infer vital information about the propagation of flight delays at U.S. airports. Liu and Willsky will present their work, which has potential application to a wide range of areas, at the Neural Information Processing Systems Foundation in early December. Read more.
  • MIT EECS faculty members in the Computer Science and Artificial Intelligence Lab CSAIL Frans Kaashoek, Nickolai Zeldovich and Armando Solar-Lezama along with EECS graduate student Xi Wang have created a system they call Stack which will automatically scan programmer's code to avoid compilers from tossing bits of code that might not appear essential. Read more.
  • Daniel Sanchez, assistant professor in the MIT Electrical Engineering and Computer Science Department (EECS) and principal investigator in the Computer Science and Artificial Intelligence Lab (CSAIL) and his student Nathan Beckmann have developed a software alternative to manage high-speed on-chip memory (cache). Read more

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