Maintaining the equipment that powers our world
By organizing performance data and predicting problems, Tagup helps energy companies keep their equipment running.
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By organizing performance data and predicting problems, Tagup helps energy companies keep their equipment running.
Chalk of the Day, an MIT student group, draws beautiful daily works of art on the chalk wall in Building 32.
MIT’s new system TextFooler can trick the types of natural-language-processing systems that Google uses to help power its search results, including audio for Google Home.
With the initial organizational structure in place, the MIT Schwarzman College of Computing moves forward with implementation.
External system improves phones’ signal strength 1,000 percent, without requiring extra antennas.
Routing scheme boosts efficiency in networks that help speed up blockchain transactions.
In a lively poster session, more than 100 undergraduates discuss their yearlong research projects on everything from machine learning to political geography.
Doctoral candidate Natalie Lao wants to show that anyone can learn to use AI to make a better world.
Computer scientists’ new method could help doctors avoid ineffective or unnecessarily risky treatments.
Model tags road features based on satellite images, to improve GPS navigation in places with limited map data.
Models that map these relationships based on patient data require fine-tuning for certain conditions, study shows.
Two staff members from Lincoln Laboratory and a professor in the School of Engineering are recognized for their influential research.
Using mathematical theory, Virginia Williams coaxes algorithms to run faster or proves they’ve hit their maximum speed.
Machine-learning system should enable developers to improve computing efficiency in a range of applications.
As natural language processing techniques improve, suggestions are getting speedier and more relevant.