A human-machine collaboration to defend against cyberattacks
PatternEx merges human and machine expertise to spot and respond to hacks.
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PatternEx merges human and machine expertise to spot and respond to hacks.
Chalk of the Day, an MIT student group, draws beautiful daily works of art on the chalk wall in Building 32.
The EECS emeritus professor is recognized for groundbreaking contributions in information and coding theory.
With the initial organizational structure in place, the MIT Schwarzman College of Computing moves forward with implementation.
Associate Professor Yury Polyanskiy is working to keep data flowing as the “internet of things” becomes a reality.
Using limited data, this automated system predicts a company’s quarterly sales.
Connected devices can now share position information, even in noisy, GPS-denied areas.
Committed to Caring honors professors Modiano, Kelly, and Li, and calls for nominations.
L4DC explored an emerging scientific area at the intersection of real-time physical data, machine learning, control theory, and optimization.
Along with studying theory, "it's also important to me that the work we are doing will help to solve real-world problems,” says LIDS student Omer Tanovic.
New approach quickly finds hidden objects in dense point clouds, for use in driverless cars or work spaces with robotic assistants.
Interactive tool lets users see and control how automated model searches work.
Technologies ranging from a hurricane-evacuation decision platform to algorithms that compare DNA samples honored as some of the world's best inventions of 2018.
Faculty members recognized for excellence via a diverse array of honors, grants, and prizes over the last quarter.
Laboratory for Information and Decision Systems alumnus and CSAIL lecturer Jehangir Amjad uses statistical methods to predict likely outcomes with limited data.