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Peyman Milanfar
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My team's technology (RAISR) features a key role in saving users a lot of bandwidth. 
Beautiful photos deserve to be seen in all their glory, but traditionally that’s meant your bandwidth pays the price. Check out how we’re putting machine learning to work on the hi-res images in Google+ streams so they load using up to 75% less bandwidth per image, but continue to display as they were meant to be seen.

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Google RAISR uses machine learning for smarter upsampling -  Top: Original, Bottom: RAISR super-resolved 2x, Image: Google Upsampling techniques to create larger versions of low-resolution images have been around for a long time – at least as long as TV detectives have been asking computers to 'enhance' images. Common linear methods fill in new pixels using simple and fixed combinations of nearby existing pixel values, but fail to increase image detail. The engineers at Google's research la...

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A blog post about some of the latest work from my team at Google Research. 
Enhance!

Learn about Rapid and Accurate Image Super-Resolution (RAISR), a technique that incorporates machine learning in order to produce high-quality versions of low-resolution images, removing aliasing artifacts that may be present in the original image.

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Very nice explanations of the physics that won the Nobel prize this year.


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Very cool. No bouncy! 
A new shock-absorbing material from +CSAIL MIT could protect robots, drones, cellphones, and more. Full story: http://mitsha.re/rqhH304NR1A

#materials #engineering #technology #technews #MIT
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Sympathy cards for scientists 
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If you're attending the International Conference on Image Processing (ICIP) 2016 in Phoenix, AZ, stop by tomorrow by the "Deep Learning for Image and Video Processing" tutorial that +Jon Shlens and I are presenting.

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Can still see reminders of the good old days in Palo Alto
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Wonders of Hawaii never fail to amaze me. 
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