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gopi Kallayil
21,511 followers -
Happy Human, Googler
Happy Human, Googler

21,511 followers
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Performing at the Wisdom 2,0 conference in San Francisco today with the very talented Grace Edmunds and Google colleague, multi-instrumentalist Egemen Sanli. Honored to be playing with you both.
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2/18/17
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Looking forward to my 7th Wisdom 2.0 conference in San Francisco this weekend. In conversation with Laurent Potdevin, CEO of Lululemon on main stage Sat 11AM PT.
Playing music fri evening in Inspiration Village.
Leading a yoga class Sat afternoon.
http://wisdom2conference.com/

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Looking forward to speaking today a joint Commonwealth Club- Wharton club event at the Googleplex in the San Francisco bay area.


http://www.commonwealthclub.org/events/2017-02-02/gopi-kallayil-brain-body-and-consciousness

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Last year I was traveling in India and waiting to catch a train at the Mangalapuram railway station bound for Shoranur to see my parents. I needed to check email quickly and used tethering on my Android phone to create a wifi hotspot. I Instantly made some curious and young new friends. Today Google announced the 100th Indian Railway Station, Udhagamandalam, that will have free WiFi and on our way to 400 Railway stations that will have free WiFi.
Why do we do this? Ten million people (equal to the population of Sweden) who pass through these 100 busiest stations every day now have access to free hi-speed Internet. We do this to bring the next billion people online so that they can get the same benefits of the Internet that the rest of us reading this have. We do this so that we can hear more of these stories below.....
“I visit [Jaipur station] every 3 to 4 days to get fast access to the Internet.I get things my daughter wants. She is in 10th grade and uses my smartphone in the evenings to fulfill her educational needs. She also teaches my wife, her mother, to read and write using my smartphone.” - Bhagwan Sahay, Jaipur
“I am migrant worker from Bihar and I travel to Rajasthan for work. . I just called my wife, and the voice and picture clarity were so good. I haven’t seen her face this clear in so long.She also got so excited to see my call, she was very surprised to see me. I feel so good after speaking to her. I can’t stop smiling.” —Bholu
Proud to be a Googler.
Read more here
https://blog.google/topics/google-asia/high-speed-wi-fi-rolls-100th-railway-station-india/
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Speaking on Innovation to the alumni of my alma mater The Indian Institute of Management in Chennai, India on Tue Dec 20. Please come if you are in Chennai.
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If you have used Google Translate and marveled at how well it does its job and also how it seems to improve itself daily this article is a must read. It is long and in some parts slow reading. It is the story of how Artificial Intelligence and in particular Neural Networks transformed Translate. For a while I sat next to this team. But from how humble and down to earth they are you would never guess the pioneering work they are doing. It is a privilege to be able to say that these brilliant minds are my colleagues. When I use any of these products I have deep reverence for the thousands of scientists and engineers that work behind the scenes over decades for these technologies to deliver magic to our finger tips. Deep bow. 

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In Abu Dhabi. The Sheikh Zayed Grand Mosque is an incredible monument to faith, beauty, and architecture.
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12/17/16
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A machine learning model that is better than the median board-certified ophthalmologist in assessing signs of diabetic retinopathy

The Google Brain team (http://g.co/brain) has been focusing some of our efforts on how machine learning can transform healthcare. We're very excited about the opportunities to provide better and more accessible care, and to save lives and make people healthier. Some of my colleagues have been working on automated systems for assessing retinal images for signs of diabetic retinopathy (DR), a degenerative eye disease that if not caught can cause blindness, and is a great example of where machine learning can really help healthcare providers. They have written a paper that was published today in the Journal of the American Medical Association, titled "Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs".

The automated system achieves an accuracy in assessing retinal images for signs of diabetic retinopathy that is higher than the median accuracy of eight board-certified ophthalmologists. This is an example of the transformative potential of machine learning for healthcare, because in many parts of the world, there simply aren't enough ophthalmologists to screen everyone for DR (the actual cameras to take the retinal images are not that expensive and so the real bottleneck is the time of skilled ophthalmologists to interpret the images).

Research blog post about this work:
https://research.googleblog.com/2016/11/deep-learning-for-detection-of-diabetic.html

The full JAMA article:
http://jamanetwork.com/journals/jama/fullarticle/2588763

A more general overview of our healthcare work: http://g.co/brain/healthcare

Edit: revised language to clarify that the model is better than the median ophthalmologist rather than more accurate than the consensus (which is the ground truth).

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Dawn and dusk today looking out of my window across the Redwood Shores lagoon.
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11/28/16
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