Machine learning picks out hidden vibrations from earthquake data
Technique may help scientists more accurately map vast underground geologic structures.
Technique may help scientists more accurately map vast underground geologic structures.
Weather’s a problem for autonomous cars. MIT’s new system shows promise by using “ground-penetrating radar” instead of cameras or lasers.
Tech-based solutions sought for challenges in work environments, education for girls and women, maternal and newborn health, and sustainable food.
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.
In a Starr Forum talk, Luis Videgaray, director of MIT’s AI Policy for the World Project, outlines key facets of regulating new technologies.
A deep-learning model identifies a powerful new drug that can kill many species of antibiotic-resistant bacteria.
MIT graduate student is assessing the impacts of artificial intelligence on military power, with a focus on the US and China.
The mission of SENSE.nano is to foster the development and use of novel sensors, sensing systems, and sensing solutions.
By organizing performance data and predicting problems, Tagup helps energy companies keep their equipment running.
Researchers develop a more robust machine-vision architecture by studying how human vision responds to changing viewpoints of objects.
Three-day hackathon explores methods for making artificial intelligence faster and more sustainable.
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.
Starting with higher-value niche markets and then expanding could help perovskite-based solar panels become competitive with silicon.
With the initial organizational structure in place, the MIT Schwarzman College of Computing moves forward with implementation.