Can computers help us synthesize new materials?
Machine-learning system finds patterns in materials “recipes,” even when training data is lacking.
Inventing the “Google” for predictive analytics
Platform analyzes big data to answer plain-language business queries in minutes instead of months.
Auto-tuning data science: New research streamlines machine learning
A new automated machine-learning system performs as well or better than its human counterparts — and works 100 times faster.
Calculating the cost of tech-fueled discrimination
Math graduate student’s Data for Black Lives conference provides numbers behind the technologies that enable exclusion.
Seeking the stories behind the data
MIT Senior Olivia Zhao will study economics as a Marshall Scholar.
Startup’s needle-free drug injector gets commercialization deal
Collaboration with pharmaceutical giant will bring smart jet-injection device to market.
Try this! Researchers devise better recommendation algorithm
Improved recommendation algorithm should work especially well when ratings data are “sparse.”
Why some Muslim clerics become jihadists
In his new book, political scientist Richard Nielsen proposes a “blocked ambition” hypothesis.
Summit discusses impact of machines on jobs, productivity, and the global economy
Two-day “AI and the Future of Work” summit at MIT focused on the artificial intelligence revolution and the workplace.
Faster big-data analysis
System for performing “tensor algebra” offers 100-fold speedups over previous software packages.
Crowdsourcing big-data analysis
Web-based system automatically evaluates proposals from far-flung data scientists.
Using artificial intelligence to improve early breast cancer detection
Model developed at MIT’s Computer Science and Artificial Intelligence Laboratory could reduce false positives and unnecessary surgeries.
Small European nation becomes a “living lab” for urban innovation researchers
Andorra funds MIT Media Lab technologies that, in turn, help improve the nation’s cities.
Regina Barzilay wins MacArthur “genius grant”
MIT computer scientist who studies natural language processing and machine learning wins $625,000 prize.