Julie Shah named head of the Department of Aeronautics and Astronautics
An expert in robotics and AI, Shah succeeds Steven Barrett at AeroAstro.
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Two from MIT awarded 2024 Paul and Daisy Soros Fellowships for New Americans
Fellowship funds graduate studies for outstanding immigrants and children of immigrants.
Study demonstrates efficacy of MIT-led Brave Behind Bars program
Programming course for incarcerated people boosts digital literacy and self-efficacy, highlighting potential for reduced recidivism.
Mapping the brain pathways of visual memorability
For the first time, researchers use a combination of MEG and fMRI to map the spatio-temporal human brain dynamics of a visual image being recognized.
To build a better AI helper, start by modeling the irrational behavior of humans
A new technique can be used to predict the actions of human or AI agents who behave suboptimally while working toward unknown goals.
Using deep learning to image the Earth’s planetary boundary layer
Lincoln Laboratory researchers are using AI to get a better picture of the atmospheric layer closest to Earth's surface. Their techniques could improve weather and drought prediction.
For more open and equitable public discussions on social media, try “meronymity”
A communication system whose users reveal only a few verified aspects of their identity can empower less confident participants to speak up, researchers report.
Knight Science Journalism Program launches HBCU Science Journalism Fellowship
The fellowship will incubate early-career science journalists, providing them with a year of skill-building freelance experience and dedicated mentorship.
3 Questions: Enhancing last-mile logistics with machine learning
MIT Center for Transportation and Logistics Director Matthias Winkenbach uses AI to make vehicle routing more efficient and adaptable for unexpected events.
A blueprint for making quantum computers easier to program
A CSAIL study highlights why it is so challenging to program a quantum computer to run a quantum algorithm, and offers a conceptual model for a more user-friendly quantum computer.
A crossroads for computing at MIT
The MIT Schwarzman College of Computing building will form a new cluster of connectivity across a spectrum of disciplines in computing and artificial intelligence.
New AI method captures uncertainty in medical images
By providing plausible label maps for one medical image, the Tyche machine-learning model could help clinicians and researchers capture crucial information.
MIT-Mexico Program fosters cross-border collaboration
For two decades, MIT-Mexico has funded student internships and teaching, as well as faculty research collaborations.
QS World University Rankings rates MIT No. 1 in 11 subjects for 2024
The Institute also ranks second in five subject areas.
A faster, better way to prevent an AI chatbot from giving toxic responses
Researchers create a curious machine-learning model that finds a wider variety of prompts for training a chatbot to avoid hateful or harmful output.