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  • February 5, 2014
    Srini Devadas has been selected to receive the IEEE Computer Society’s 2014 Technical Achievement Award “For pioneering work in secure hardware, including the invention of Physical Unclonable Functions and single-chip secure processor architectures.” Read more.
  • January 17, 2014
    Marvin Minsky, a faculty member in the MIT Electrical Engineering and Computer Science since 1958 and co-founder (in 1959) of the Artificial Intelligence Lab (now the Computer Science and Artificial Intelligence Laboratory), has been recognized the the BBVA Foundation for his lifetime achievements in establishing the field of artificial intelligence as well as his contributions to mathematics, cognitive science, robotics and philosophy.
  • December 27, 2013
    Electrical Engineering and Computer Science Department graduate student Mohsen Ghaffari, also a member of MIT’s Computer Science and Artificial Intelligence Lab (CSAIL) has developed a new way to use “vertex connectivity” that could ultimately lead to communication protocols that will allow as much network bandwidth as possible. Ghaffari and members of an international team will present this work in January at the ACM-SIAM Symposium on Discrete Algorithms in Portland, Oregon.
  • December 18, 2013
    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.
  • December 16, 2013
    Manolis Kellis, associate professor of computer science at MIT has teamed with a former CSAIL postdoc to combine work developing algorithms that predict how strands of RNA are likely to unfold with a team of computational biologists at MIT and with experimental biologists at University of California San Francisco (UCSF) to identify biologically meaningful RNA folds within living cells. Published in Nature this week, this work shows promised for understanding RNA machinery -- a major avenue towards understanding genetic and biological function in living cells.
  • December 12, 2013
    Prof. Dina Katabi, principal investigator in the Computer Science and Artificial Intelligence Lab at MIT working with members of her research group has developed a 3-D motion tracking system that has potential for gaming and far more. Read more in the CSAIL Dec. 12, 2013 article
  • December 11, 2013
    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.
  • December 9, 2013
    Professor Alan Willsky, has been selected to receive the 2013 SPS Society Award of the IEEE Signal Processing Society (SPS). Willsky is the Edwin Sibley Webster professor of electrical engineering and computer science and director of the MIT Laboratory for Information and Decision Systems (LIDS) at MIT. Read more.
  • December 9, 2013
    Professors Dina Katabi and Nir N. Shavit have been elected to 2013 Fellow by the Association of Computing Machinery (ACM). As part of a select 1% of ACM membership, Fellows are recognized “for their contributions to computing that are driving innovations across multiple domains and disciplines - accelerating the digital revolution and impacting every dimension of how we live work and play.” Read more.
  • November 14, 2013
    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.
  • October 29, 2013
    At this month’s IEEE Conference on Intelligent Transport Systems, Berthold Horn, professor of computer science and engineering in the EECS Department at MIT and member of the Computer Science and Artificial Intelligence Lab (CSAIL), presented a new algorithm for alleviating traffic flow instabilities, which he believes could be implemented by a variation of the adaptive cruise-control systems that are an option on many of today’s high-end cars. Read more.
  • October 16, 2013
    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.
  • October 4, 2013
    Self-assembling robots were dismissed even by Daniela Rus, professor of computer science and engineering and director of the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL), until she worked again with former MIT EECS senior John Romanishin, now a research scientist in CSAIL and the one who was convinced (since his undergraduate days) that it could be done. They will present their work on the new self-propelled robots at the IEEE RSJ International conference on Intelligent Robots and Systems. Read more.
  • September 25, 2013
    Dina Katabi, professor in the MIT EECS Department, principal investigator in the Computer Science and Artificial Intelligence Lab (CSAIL) and co-director of Wireless@MIT has been selected as a 2013 MacArthur Fellow. She is cited by the MacArthur Fellows Program for her work "at the interface of computer science and electrical engineering to improve the speed, reliability, and security of data exchange. Katabi has contributed to a range of networking issues, from protocols to minimize congestion in high-bandwidth networks to algorithms for spectrum analysis, though most of her work centers on wireless data transmission."
  • September 13, 2013
    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
  • September 11, 2013
    EECS graduate students Alessandro Chiesa and Madars Virza have teamed to develop a new system which can detect tampering in the cloud. The team presented their system, which is described as a practical, succinct zero-knowledge proof for arbitrary programs, at the International Cryptology Conference in August. Read more
  • August 8, 2013
    Rodney Brooks, iRobot co-founder and Chairman and CTO of Rethink Robotics, was recently featured in the MIT News Office — following the selection by Technology Review of Rethink Robotics as one of 50 Disruptive Companies 2013. Founded by Brooks in 2008, Rethink Robotics is stocking manufacturers with easily taught assembly-line capable robots that can work safely alongside humans.
  • August 5, 2013
    CSAIL News: EECS professor Nancy Lynch, who heads the Theory of Distributed Systems Group at MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) and EECS graduate student Moshen Ghaffari, and Cal Newport, a former graduate student in Lynch’s group who’s now an assistant professor of computer science at Georgetown University have used adversarial models in achieving greater network stability for adhoc networks, ie., for wireless device use.
  • August 2, 2013
    Three CSAIL roboticists have been named to IEEE Intelligent Systems' 2013 list of "AI's 10 to Watch", which celebrates 10 rising stars in the field of artificial intelligence (AI). The CSAIL members named to the list are: Nora Ayanian, Finale Doshi-Velez and Stefanie Tellex.
  • July 26, 2013
    New research to be presented at the 2013 SIGGRAPH computer graphics conference could transform field of 3-D printing. Read about the work of EECS/CSAIL Professor Wojciech Matusik and his group to simplify the software that drives the 3D printing of multi-material objects. July 25 article by Abby Abazorius, CSAIL.
  • July 26, 2013
    The Computer Science and Artificial Intelligence Lab (CSAIL) announced on July 25, 2013 that Professor William Freeman has been honored with the Test of Time Award for his paper "Orientation Histograms for Hand Gesture Recognition,” co-written by Michal Roth in 1995. The award was presented at the 2013 IEEE Automatic Face and Gesture Recognition Conference in Shanghai, China.
  • July 19, 2013
    Researchers from CSAIL and Center for Wireless Networks and Mobile Computing have developed a TCP congestion-control system called Remy, which they will present at the annual conference of the Association for Computing Machinery’s Special Interest Group on Data Communications. Hari Balakrishnan, the Fujitsu Professor of Electrical Engineering and Computer Science and EECS graduate student Keith Winstein are the authors of the work titled "TCP ex Machina: Computer-Generated Congestion Control".
  • July 11, 2013
    EECS Professors Regina Barzilay and Martin Rinard (and their respective graduate students Nate Kushman and Tao Lei) have demonstrated that ordinary language can be used (in specific cases) to aid in generating code for computer programs. Read more
  • July 10, 2013
    Faculty members in the Electrical Engineering and Computer Science Department at MIT are converging on a wide range of research issues through game theory, which used to be a staple of economics research in the 1950s. EECS faculty members Asuman Ozdaglar, Costis Daskalakis, Munther Dahleh, and Silvio Micali discuss their approaches in this Technology Review feature. Read more.
  • July 1, 2013
    EECS faculty member Dina Katabi, principal investigator in the Computer Science and Artificial Intelligence Laboratory (CSAIL) and her graduate student Fadel Adib have developed a system (dubbed Wi-Vi) which uses low-cost wireless technology to track moving humans behind walls.