Research

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  • At the IEEE Conference on Computer Vision and Pattern Recognition this month, EECS faculty member and associate department head William Freeman and colleagues from the Computer Science and Artificial Intelligence Lab (CSAIL) will present a new algorithm that can, with roughly 80 percent accuracy, determine whether a given snippet of video is playing backward or forward. Read more.
  • EECS faculty members Dina Katabi, director of the Wireless Center at MIT's Computer Science and Artificial Intelligence Lab (CSAIL) and CSAIL colleague Robert Miller with EECS graduate students Fadel Adib and Zach Kabalec have collaborated to develop wireless technology to track a person's vital signals such as breathing (heart rate) and more from another room with no need for intrusive wearable technologies. Read more.
  • MIT's Computer Science and Artificial Intelligence Lab (CSAIL) held a two day conference celebrating 50 years of computer science looking forward to the future with solutions for today's obstacles and tomorrow's solutions. Read more.
  • Unlike addressing the problem of object detection, a major area of research in computer vision, Prof. Bill Freeman, principal investigator in the Computer Science and Artificial Intelligence Lab (CSAIL) and associate department head in MIT's Electrical Engineering and Computer Science (EECS) Department, has worked with EECS graduate student Andrew Owens and colleagues from the University of Virginia, the Woods Hole Oceanographic Institute and Flyby Media to .... Read more.
  • Postdoctoral associate in the Computer Science and Artificial Intelligence Lab (CSAIL) Hamed Pirsiavash has developed a new algorithm that offers significant improvements in parsing video — linearly, no matter the length, with fixed requirement for memory and reaching conclusions in search more efficiently. Read more.
  • Robert D. Blumofe and Charles E. Leiserson were announced today as the winners of the 2013 Association for Computing Machinery’s (ACM) Paris Kanellakis Theory and Practice Award for contributions to robust parallel and distributed computing. The ACM credits Blumofe and Leiserson for developing provably efficient randomized “work-stealing” scheduling algorithms and Cilk, a small but powerful programming-language extension for multithreaded computing. The Kanellakis Award honors specific theoretical accomplishments that significantly affect the practice of computing. Read more.
  • 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.
  • Imagine being curious enough as an 11 year old — on seeing your babysitter's mysterious calculus textbook symbols — to jump grades in order to leap several years ahead in math? Scott Aaronson, associate professor of electrical engineering and computer science and affiliate with the Computer Science and Artificial Intelligence Lab (CSAIL), has always had a way of thinking beyond -- now looking for the truths in computational complexity, and consequently influencing the way computation is perceived and executed in the future. Read more.
  • Dina Katabi has been selected for the Andrew (1956) and Erna Viterbi Professor of Electrical Engineering and Computer Science at MIT. In announcing this appointment, Department Head Anantha Chandraksan shared the following message with his colleagues in the EECS Department. Read more.
  • Prof. Daniela Rus, Director of MIT's Computer Science and Artificial Intelligence Lab (CSAIL) and head of the Distributed Robotics Lab (DRL) envisions new ways for design and manufacture of robots — including the potential for one robot per child in schools. She and members from the DRL group received multiple prizes at the Ultra-Affordable Robot competition particularly for the group's printable, origami-inspired Segway robot, called SEG, which won first place.
  • 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.
  • Ljubisa Stevanovic, Wednesday, March 5, 2014, 34-401
  • Computer Science and Artificial Intelligence Lab's Leslie Kaelbling, the Panasonic Professor of Electrical Engineering and Computer Science in collaboration with members of her research group the Learning and Intelligent Systems Group have developed a new way to use "multiagent systems" to allow for teams of robots to accomplish tasks requiring flexibility and communication in uncertain environments. Read more.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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
  • 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.
  • 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.
  • 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.
  • Tuesday, November 26th, 2013, 34-101, @4:15pm. Refreshments @ 4:00pm.
  • 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.