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Jeff Dean
51,580 followers -
Google Senior Fellow
Google Senior Fellow

51,580 followers
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Part 2/2 of the blog posts I wrote covering highlights of the Google Brain team's activities in 2017, posted on behalf of the entire Google Brain team (g.co/brain). This one covers our work in on applying AI and machine learning to healthcare, robotics, science, machine-aided creativity, as well as our efforts on improving fairness and reducing bias in machine learning models.

https://research.googleblog.com/2018/01/the-google-brain-team-looking-back-on_12.html
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On behalf of the whole Google Brain team (http://g.co/brain), I wrote up a Google Research blog post that highlights some of our work in 2017. This is part 1 of 2, which highlights some of our core research work, as well as our work in improving TensorFlow and TPUs. Stay tuned for part 2 tomorrow, which will touch on our work on using machine learning in the areas of healthcare, robotics, creativity, as well as work on fairness and avoiding bias in machine learning models.

I'm very proud of everyone on the team in terms of what we accomplished in 2017!

https://research.googleblog.com/2018/01/the-google-brain-team-looking-back-on.html
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I've now created a Twitter account and may start posting things there, as well as here.
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A reminder that applications are currently open for the third year of the Google AI Residency Program (formerly the Google Brain Residency Program), at g.co/airesidency/apply, with applications due by January 8th, 2018 (program info is available at g.co/airesidency). If you're at the NIPS conference this week in Long Beach and want to learn more about the program, stop by the Google recruiting booth in Hall B, or find any member of the Google Brain team and ask them questions about it.
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Congrats to +Mark DePristo, +Ryan Poplin and the rest of the Google Brain genomics team on the open source release of DeepVariant, a deep-learning based variant caller that is able to call variants with very high accuracy.

In addition to today's open source release, they partnered with Google Cloud to make it easy to run this variant caller at very high speed using Google Cloud infrastructure.

Research blog post: https://research.googleblog.com/2017/12/deepvariant-highly-accurate-genomes.html
Google Cloud blog post: https://cloud.google.com/genomics/deepvariant
Brain genomics team info: https://research.google.com/teams/brain/genomics/

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I'm looking forward to NIPS this week. Here's an overview of work being presented there by Google researchers. Congrats to my Google Brain colleague +Samy Bengio​ on his role as co-chair of the conference and managing his vast cohort of 2500 paper reviewers!
Learn more about the Google research, publications, workshops and tutorials being presented this week in Long Beach at #NIPS2017
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+Christopher Olah​, +Alexander Mordvintsev​, and Ludwig Schubert have produced a really in depth analysis of how image processing neutral nets build up features and develop visual understanding from raw pixels. The whole article is beautifully illustrated with examples of various phenomenons.
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Our work in the Google Brain team on automatically solving machine learning problems continues to produce great results, this time state of the art results on object detection and classification tasks.
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Applications for the Google AI Residency Program (formerly the Google Brain Residency Program) are now open for the 2018 program, starting in summer, 2018 and lasting for 12 months. If you want to learn to do deep learning research with our research team, please consider applying!
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The Google Brain Residency program is getting a new name (the Google AI Residency Program), and is expanding! Information about the program is at:

http://g.co/airesidency

Applications are now open at: http://g.co/airesidency/apply

If you want to do deep learning research within the Google Brain team or other machine learning research teams at Google, I'd encourage you to apply.
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