Unpacking black-box models
Researchers create a mathematical framework to evaluate explanations of machine-learning models and quantify how well people understand them.
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Artificial intelligence system learns concepts shared across video, audio, and text
A machine-learning model can identify the action in a video clip and label it, without the help of humans.
Secret superheroes of EECS
Lecturers ensure the technology, curriculum, and instructional delivery of MIT’s classroom education keep up with the dizzying pace of its research.
A one-up on motion capture
A new neural network approach captures the characteristics of a physical system’s dynamic motion from video, regardless of rendering configuration or image differences.
Seven from MIT elected to American Academy of Arts and Sciences for 2022
Prestigious honor society announces more than 250 new members.
How can we reduce the carbon footprint of global computing?
Workshop hosted by MIT’s Climate and Sustainability Consortium, MIT-IBM Watson AI Lab, and the MIT Schwarzman College of Computing highlights how new approaches to computing can save energy and help the planet.
From seawater to drinking water, with the push of a button
Researchers build a portable desalination unit that generates clear, clean drinking water without the need for filters or high-pressure pumps.
Estimating the informativeness of data
MIT researchers can now estimate how much information data are likely to contain, in a more accurate and scalable way than previous methods.
Learning to think critically about machine learning
A multidisciplinary team of graduate students helps infuse ethical computing content into MIT’s largest machine learning course.
MIT Schwarzman College of Computing unveils Break Through Tech AI
New program strives to bridge the talent gap for underrepresented groups in the tech industry.
Engineers enlist AI to help scale up advanced solar cell manufacturing
Perovskite materials would be superior to silicon in PV cells, but manufacturing such cells at scale is a huge hurdle. Machine learning can help.
MIT’s FutureMakers programs help kids get their minds around — and hands on — AI
The programs are designed to foster an understanding of how artificial intelligence technologies work, including their social implications.
Does this artificial intelligence think like a human?
A new technique compares the reasoning of a machine-learning model to that of a human, so the user can see patterns in the model’s behavior.
Bringing together the next generation of quantum coders
MIT iQuHACK gave teams from across the country time and experience on real quantum computers.
School of Engineering welcomes Thomas Tull as visiting innovation scholar
Primary focus will be to advance and promote technology, innovation, and entrepreneurship across the school.