System automatically converts 2-D video to 3-D
Exploiting video game software yields broadcast-quality 3-D video of soccer games in real time.
Topic
Electrical engineering and computer science (EECS)
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Real-time epidemiology from urban wastewater
MIT and Kuwait researchers have been awarded $4 million to fund Underworlds, a study of real-time epidemiology using biomarkers in urban sewage.
An app for safer roads
Censio’s data analytics on driving behavior helps users improve safety and lower insurance rates.
William Siebert, professor emeritus of electrical engineering and computer science, dies at 89
Siebert, an expert in long-range radar, helped shape EECS undergraduate curriculum.
Grad students honor caring faculty through Committed to Caring (C2C) Awards
Celebration of “above and beyond” support enters second year.
How wireless “X-ray vision” could power virtual reality, smart homes, and Hollywood
By seeing silhouettes through a wall, CSAIL device could help with motion capture, fall prevention and even your heating bill.
A basis for all cryptography
A tool that would provide a secure foundation for any cryptographic system may be close at hand.
Faster optimization
New general-purpose optimization algorithm promises order-of-magnitude speedups on some problems.
Automating big-data analysis
System that replaces human intuition with algorithms outperforms 615 of 906 human teams.
Interplanetary architecture
Faculty and students grapple with 3-D printing a habitable structure on Mars.
SuperUROP undergrad research program goes engineering-wide
Yearlong “Super” Undergraduate Research Opportunities Program expands beyond electrical engineering and computer science.
Government of India taps MIT expertise for energy solutions
Minister Piyush Goyal meets with MIT Energy Initiative and Tata Center leadership, says of India’s electrification goals: “We will make it happen.”
The second semiconductor revolution
Materials Day, Oct. 14, presents insights into the next generation of extremely thin, tough quantum materials for sensing, energy. and computing devices.
Predicting change in the Alzheimer’s brain
Combining MRI and other data helps machine-learning systems predict effects of neurodegenerative disease.