Researchers 3D print components for a portable mass spectrometer
Lightweight and inexpensive, miniaturized mass filters are a key step toward portable mass spectrometers that could identify unknown chemicals in remote settings.
AI agents help explain other AI systems
MIT researchers introduce a method that uses artificial intelligence to automate the explanation of complex neural networks.
Complex, unfamiliar sentences make the brain’s language network work harder
A new study finds that language regions in the left hemisphere light up when reading uncommon sentences, while straightforward sentences elicit little response.
Leveraging language to understand machines
Master’s students Irene Terpstra ’23 and Rujul Gandhi ’22 use language to design new integrated circuits and make it understandable to robots.
MIT’s top research stories of 2023
A cheaper water desalination device, a wearable ultrasound scanner, and a new kind of supercapacitor were some of MIT News’ most popular articles.
MIT community in 2023: A year in review
Top Institute stories dealt with a presidential inauguration, international accolades for faculty and students, “Dialogues Across Difference,” new and refreshed community spaces, and more.
MIT in the media: 2023 in review
MIT community members made headlines with key research advances and their efforts to tackle pressing challenges.
Professor Emeritus Frederick Hennie, expert in computation and leader within MIT EECS, dies at 90
The highly influential professor served for 25 years as executive officer of the Department of Electrical Engineering and Computer Science.
A flexible solution to help artists improve animation
This new method draws on 200-year-old geometric foundations to give artists control over the appearance of animated characters.
“MIT can give you ‘superpowers’”
MITx MicroMasters credential leads learner to accelerated graduate program in data science.
Image recognition accuracy: An unseen challenge confounding today’s AI
“Minimum viewing time” benchmark gauges image recognition complexity for AI systems by measuring the time needed for accurate human identification.
Closing the design-to-manufacturing gap for optical devices
A new method enables optical devices that more closely match their design specifications, boosting accuracy and efficiency.
A computer scientist pushes the boundaries of geometry
Justin Solomon applies modern geometric techniques to solve problems in computer vision, machine learning, statistics, and beyond.
Boosting faith in the authenticity of open source software
Speranza system brings hope to users that the package they download is functional software, not malware.
MIT Generative AI Week fosters dialogue across disciplines
During the last week of November, MIT hosted symposia and events aimed at examining the implications and possibilities of generative AI.