Emerging Worlds: Innovating for Billions
MIT scientists and collaborators are hosting workshops in January 2017 in India -- to SPOT problems and PROBE solutions with invited experts, scientists and change makers. We will explore billion dollar problems for citizens and communities in emerging worlds -- including farmers, merchants, women and crowds -- in several areas to improve billions of lives: (1)
AI and the Data Revolution, (2) Imaging for Social Good, (3) Personal Identity and Low Cost Wearables, (4) Maps and Geo-centric Tech, (5) Machine Learning for Digital Health.
Thanks to our collaborators:
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Is the World Ready for T-rays?
The article by
Natasja Sheriff covers
work of Albert Redo Sanchez and collaborators on possibilities for imaging with terahertz.
"Invisible to the eye and undetectable by most sensors, the small frequency of light called terahertz has eluded scientists for more than a century. That is finally changing - and revealing amazing visuals in the process." Ideas.TED.com
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"Why can't you see through frosted glass, when it's the same material as a window? Why can't you see through fog, when water is transparent? Because these materials scatter light rays and jumble the information that arrives at the human eye, making it impossible to form a clear image."
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Designing Neural Network Architectures Using Reinforcement Learning
We propose a meta-modeling approach based on reinforcement learning to automatically generate high-performing CNN architectures for a given learning task. Bowen Baker, Otkrist Gupta, Nikhil Naik & Ramesh Raskar
Under review as a conference paper at ICLR 2017
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More than 70 teams from 13 countries applied for the award which recognizes innovation in digital health. Other winners included iBreastExam and GreenSunMedical, an orthotic for scoliosis care.
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