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Research is the lifeblood of CSAIL. Applying computational thinking and advanced technologies, we pose difficult questions and pursue innovative answers. While research is our core activity, we view it not as an end in itself but as a means to an end. The goal is not merely to build our knowledge but rather to impact our world. Ultimately, our research is intended to someday improve the way we live, work, and play; heal, travel, and learn; manage our lives, and care for our environment. READ MORE >>




On an afternoon in early April, Tommi Jaakkola is pacing at the front of the vast auditorium that is 26-100. The chalkboards behind him are covered with equations. Jaakkola looks relaxed in a short-sleeved black shirt and jeans, and gestures to the board. “What is the answer here?” he asks



Hyper-connectivity has changed the way we communicate, wait, and productively use our time. Even in a world of 5G wireless and “instant” messaging, there are countless moments throughout the day when we’re waiting for messages, texts, and Snapchats to refresh. But our frustrations with



In the past 10 years, the best-performing artificial-intelligence systems — such as the speech recognizers on smartphones or Google’s latest automatic translator — have resulted from a technique called “deep learning.”
Deep learning is in fact a new name for an approach to artificial
It was recently announced that CSAIL principal investigator D. Fox Harrell will be promoted to full professor in July.

 Harrell is Professor of Digital Media (July 1st, 2017) in both the Comparative Media Studies Program and the Computer Science and Artificial Intelligence Laboratory at MIT. His
This week CSAIL Director Daniela Rus was presented with the Engelberger Robotics Award recipient for her instrumental work as a leader, educator, and pioneer in the field of robotics. The Robotic Industries Association (RIA) presented the award at Automate 2017 and the International Symposium on



A webpage today is often the sum of many different components. A user’s home page on a social-networking site, for instance, might display the latest posts from the users’ friends; the associated images, links, and comments; notifications of pending messages and comments on the user’s own
In a world where hackers can sabotage power plants and impact elections, there has never been a more crucial time to examine cybersecurity for critical infrastructure, most of which is privately owned.



According to MIT experts, over the last 25 years presidents from both parties have
In a world where hackers can sabotage power plants and impact elections, there has never been a more crucial time to examine cybersecurity for critical infrastructure, most of which is privately owned.



According to MIT experts, over the last 25 years presidents from both parties have paid



Most website visits these days entail a database query — to look up airline flights, for example, or to find the fastest driving route between two addresses.
But online database queries can reveal a surprising amount of information about the people making them. And some travel sites have



In this age of smartphones and tablet computers, touch-sensitive surfaces are everywhere. They’re also brittle, as people with cracked phone screens everywhere can attest.
Covering a robot — or an airplane or a bridge — with sensors will require a technology that is both flexible and cost-



The transmission control protocol, or TCP, which manages traffic on the internet, was first proposed in 1974. Some version of TCP still regulates data transfer in most major data centers, the huge warehouses of servers maintained by popular websites.
That’s not because TCP is perfect or
Distributed planning, communication, and control algorithms for autonomous robots make up a major area of research in computer science. But in the literature on multirobot systems, security has gotten relatively short shrift.
In the latest issue of the journal Autonomous Robots, researchers from



Distributed planning, communication, and control algorithms for autonomous robots make up a major area of research in computer science. But in the literature on multirobot systems, security has gotten relatively short shrift.
In the latest issue of the journal Autonomous Robots, researchers



Distributed planning, communication, and control algorithms for autonomous robots make up a major area of research in computer science. But in the literature on multirobot systems, security has gotten relatively short shrift.
In the latest issue of the journal Autonomous Robots, researchers



One good piece of news in recent years is that people around the world are living longer. The downside to this news is that older age exposes more of us to varieties of cognitive decline, including Alzheimer’s disease. According to the Alzheimer’s Association, the number of people with this



From Reddit to Quora, discussion forums can be equal parts informative and daunting. We’ve all fallen down rabbit holes of lengthy threads that are impossible to sift through. Comments can be redundant, off-topic or even inaccurate, but all that content is ultimately still there for us to
Game-playing artificial intelligence has proved to be a game-changer for even the most seasoned veterans. First, Deep Blue beat the world’s best chess player, and since then Go, Pacman and poker have fallen too. Now, AI has triumphed over another fan-favorite: Nintendo’s Super Smash Bros. Melee (



For robots to do what we want, they need to understand us. Too often, this means having to meet them halfway: teaching them the intricacies of human language, for example, or giving them explicit commands for very specific tasks.
But what if we could develop robots that were a more natural
Regina Barzilay is working with MIT students and medical doctors in an ambitious bid to revolutionize cancer care. She is relying on a tool largely unrecognized in the oncology world but deeply familiar to hers: machine learning. 
Barzilay, the Delta Electronics Professor of Electrical



Regina Barzilay is working with MIT students and medical doctors in an ambitious bid to revolutionize cancer care. She is relying on a tool largely unrecognized in the oncology world but deeply familiar to hers: machine learning. 
Barzilay, the Delta Electronics Professor of



Every other year, the International Conference on Automated Planning and Scheduling hosts a competition in which computer systems designed by conference participants try to find the best solution to a planning problem, such as scheduling flights or coordinating tasks for teams of autonomous



It’s a fact of nature that a single conversation can be interpreted in very different ways. For people with anxiety or conditions such as Asperger’s, this can make social situations extremely stressful. But what if there was a more objective way to measure and understand our interactions?
It’s a fact of nature that a single conversation can be interpreted in very different ways. For people with anxiety or conditions such as Asperger’s, this can make social situations extremely stressful. But what if there was a more objective way to measure and understand our interactions?



Compilers are programs that convert computer code written in high-level languages intelligible to humans into low-level instructions executable by machines.
But there’s more than one way to implement a given computation, and modern compilers extensively analyze the code they process, trying



Today, loading a web page on a big website usually involves a database query — to retrieve the latest contributions to a discussion you’re participating in, a list of news stories related to the one you’re reading, links targeted to your geographic location, or the like.
But database queries



The age of big data has seen a host of new techniques for analyzing large data sets. But before any of those techniques can be applied, the target data has to be aggregated, organized, and cleaned up.
That turns out to be a shockingly time-consuming task. In a 2016 survey, 80 data scientists



Daniela Rus loves Singapore. As the MIT professor sits down in her Frank Gehry-designed office in Cambridge, Massachusetts, to talk about her research conducted in Singapore, her face starts to relax in a big smile.
Her story with Singapore started in the summer of 2010, when she made her
People generally associate graphic processing units (GPUs) with imaging processing. Developed for video games in the 1990s, modern GPUs are specialized circuits with thousands of small, efficient processing units, or “cores,” that work simultaneously to rapidly render graphics on screen.But for the



Researchers at MIT’s Computer Science and Artificial Intelligence Laboratory have developed a new computational model of a neural circuit in the brain, which could shed light on the biological role of inhibitory neurons — neurons that keep other neurons from firing.
The model describes a
 Traffic is not just a nuisance for drivers: it’s also a public-health hazard and bad news for the economy.
Transportation studies put the annual cost of congestion at $160 billion, which includes 7 billion hours of time lost to sitting in traffic and an extra 3 billion gallons of fuel
Living in a dynamic physical world, it’s easy to forget how effortlessly we understand our surroundings. With minimal thought, we can figure out how scenes change and objects interact.
But what’s second nature for us is still a huge problem for machines. With the limitless number of ways that
When data sets get too big, sometimes the only way to do anything useful with them is to extract much smaller subsets and analyze those instead.
Those subsets have to preserve certain properties of the full sets, however, and one property that’s useful in a wide range of applications is diversity.
One way to handle big data is to shrink it. If you can identify a small subset of your data set that preserves its salient mathematical relationships, you may be able to perform useful analyses on it that would be prohibitively time consuming on the full set.
The methods for creating such “coresets
This week the Association for Computer Machinery (ACM) announced its 2016 fellows, which include four principal investigators from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL): professors Erik Demaine, Fredo Durand, William Freeman, and Daniel Jackson. They were among the 1
Speech recognition systems, such as those that convert speech to text on cellphones, are generally the result of machine learning. A computer pores through thousands or even millions of audio files and their transcriptions, and learns which acoustic features correspond to which typed words.
But
This fall’s new Federal Aviation Administration regulations have made drone flight easier than ever for both companies and consumers. But what if the drones out on the market aren’t exactly what you want?
A new system from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL)
When the filmmaking pioneers Auguste and Louis Lumière screened their 1895 film, "The Arrival of a Train at La Ciotat," audiences were so frightened by the real appearance of the image that they screamed and got out of the way — or so a well-known anecdote goes. Today, as one enters a virtual
In recent years, computers have gotten remarkably good at recognizing speech and images: Think of the dictation software on most cellphones, or the algorithms that automatically identify people in photos posted to Facebook.
But recognition of natural sounds — such as crowds cheering or waves
One of the limits of today’s virtual reality (VR) headsets is that they have to be tethered to computers in order to process data well enough to deliver high-resolution visuals. But wearing an HDMI cable reduces mobility and can even lead to users tripping over cords.
Fortunately, researchers from
Traffic is not just a nuisance for drivers: it’s also a public-health hazard and bad news for the economy.Transportation studies put the annual cost of congestion at $160 billion, which includes 7 billion hours of time lost to sitting in traffic and an extra 3 billion gallons of fuel burned. One
MIT researchers and their colleagues have developed a new computational model of the human brain’s face-recognition mechanism that seems to capture aspects of human neurology that previous models have missed.
The researchers designed a machine-learning system that implemented their model, and they
Living in a dynamic physical world, it’s easy to forget how effortlessly we understand our surroundings. With minimal thought, we can figure out how scenes change and objects interact.
But what’s second nature for us is still a huge problem for machines. With the limitless number of ways that
Surviving breast cancer changed the course of Regina Barzilay’s research. The experience showed her, in stark relief, that oncologists and their patients lack tools for data-driven decision making. That includes what treatments to recommend, but also whether a patient’s sample even warrants a
Quantum computers promise huge speedups on some computational problems because they harness a strange physical property called entanglement, in which the physical state of one tiny particle depends on measurements made of another. In quantum computers, entanglement is a computational resource,
CoolThink@JC, a four-year initiative of The Hong Kong Jockey Club Charities Trust, was launched today to empower the city’s primary school teachers and students with computational thinking skills, including coding.
Developed through a collaboration with MIT's Computer Science and Artificial
One of the limits of today’s virtual reality (VR) headsets is that they have to be tethered to computers in order to process data well enough to deliver high-resolution visuals. But wearing an HDMI cable reduces mobility and can even lead to users tripping over cords.
Fortunately, researchers from
Dynamic programming is a technique that can yield relatively efficient solutions to computational problems in economics, genomic analysis, and other fields. But adapting it to computer chips with multiple “cores,” or processing units, requires a level of programming expertise that few economists
At MIT’s 2016 Open House last spring, more than 100 visitors took rides on an autonomous mobility scooter in a trial of software designed by researchers from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL), the National University of Singapore, and the Singapore-MIT Alliance
In recent years, the best-performing systems in artificial-intelligence research have come courtesy of neural networks, which look for patterns in training data that yield useful predictions or classifications. A neural net might, for instance, be trained to recognize certain objects in digital
Researchers from MIT, Boston Children's Hospital, and Massachusetts General Hospital have joined forces in an ambitious new project to use magnetic resonance imaging (MRI) to evaluate the health of fetuses.
Typically, fetal development is monitored with ultrasound imaging, which is cheap and