Bringing deep learning to life
MIT duo uses music, videos, and real-world examples to teach students the foundations of artificial intelligence.
MIT duo uses music, videos, and real-world examples to teach students the foundations of artificial intelligence.
PatternEx merges human and machine expertise to spot and respond to hacks.
A deep-learning model identifies a powerful new drug that can kill many species of antibiotic-resistant bacteria.
Mobile voting application could allow hackers to alter individual votes and may pose privacy issues for users.
Flexible sensors and an artificial intelligence model tell deformable robots how their bodies are positioned in a 3D environment.
Text-generating tool pinpoints and replaces specific information in sentences while retaining humanlike grammar and style.
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.