Exploring the history of data-driven arguments in public life
William Deringer studies “very old things and very technical things” — that have never been more relevant.
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Two MIT teams selected for NSF sustainable materials cooperative agreements
The MIT-led projects will investigate novel high-performance designs, materials, processes, and assessment methods for an environmentally sustainable microchip industry.
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.
This tiny chip can safeguard user data while enabling efficient computing on a smartphone
Researchers have developed a security solution for power-hungry AI models that offers protection against two common attacks.
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.
Advancing technology for aquaculture
MIT Sea Grant students apply machine learning to support local aquaculture hatcheries.
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.
Improving drug development with a vast map of the immune system
Immunai’s founders were researchers at MIT when they launched their company to help predict how patients will respond to new treatments.