How an “AI-tocracy” emerges
In China, the use of AI-driven facial recognition helps the regime repress dissent while enhancing the technology, researchers report.
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Generative AI imagines new protein structures
“FrameDiff” is a computational tool that uses generative AI to craft new protein structures, with the aim of accelerating drug development and improving gene therapy.
Statistics, operations research, and better algorithms
MIT Sloan Associate Professor Rahul Mazumder finds ways to create and refine statistical models with an array of applications.
Learning the language of molecules to predict their properties
This AI system only needs a small amount of data to predict molecular properties, which could speed up drug discovery and material development.
MIT scientists build a system that can generate AI models for biology research
BioAutoMATED, an open-source, automated machine-learning platform, aims to help democratize artificial intelligence for research labs.
When computer vision works more like a brain, it sees more like people do
Training artificial neural networks with data from real brains can make computer vision more robust.
Educating national security leaders on artificial intelligence
Experts from MIT’s School of Engineering, Schwarzman College of Computing, and Sloan Executive Education educate national security leaders in AI fundamentals.
Researchers teach an AI to write better chart captions
A new dataset can help scientists develop automatic systems that generate richer, more descriptive captions for online charts.
Summer 2023 recommended reading from MIT
Enjoy these recent titles from Institute faculty and staff.
Computer vision system marries image recognition and generation
MAGE merges the two key tasks of image generation and recognition, typically trained separately, into a single system.
Gamifying medical data labeling to advance AI
MIT alumnus’ platform taps the wisdom of crowds to label medical data for AI companies.
Day of AI curriculum meets the moment
Global participation in MIT RAISE’s free K-12 program more than doubles in its second year.
MIT-Pillar AI Collective announces first seed grant recipients
Six teams conducting research in AI, data science, and machine learning receive funding for projects that have potential commercial applications.
Envisioning the future of computing
MIT students share ideas, aspirations, and vision for how advances in computing stand to transform society in a competition hosted by the Social and Ethical Responsibilities of Computing.
Novo Nordisk to support MIT postdocs working at the intersection of AI and life sciences
MIT-Novo Nordisk Artificial Intelligence Postdoctoral Fellows Program will support up to 10 postdocs annually over five years.