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Grigori Fursin
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Developing self-optimizing computer systems and accelerating knowledge discovery via Collective Intelligence, Predictive Analytics, Reproducible Experimentation, Data Sharing and Open Science!
Developing self-optimizing computer systems and accelerating knowledge discovery via Collective Intelligence, Predictive Analytics, Reproducible Experimentation, Data Sharing and Open Science!

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Together with the Collective Knowledge team I would like to wish you very happy holidays!

It was a very exciting year with many new industrial and academic projects related to collaborative optimization of computer systems and reproducible experimentation powered by our CK framework!

Much more to come in the New Year, so please stay tuned,
and in the the mean time check out the new version of our
Android app to crowd-benchmark various DNN libraries
and models:

http://tinyurl.com/zlbxvmw

Take care and will keep in touch!


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Wow, we got a record number of artifact submissions: 27
(two years ago it was 17 and last year 22). It's great but we should also really start thinking about using community-driven reviewing at leading conferences similar to what we already do at our ADAPT workshop:
* http://adapt-workshop.org
* https://arxiv.org/abs/1406.4020
Otherwise, we may soon start hitting the same issues as with traditional paper reviewing! It also really great to see that artifact evaluation is taken very seriously now! For example, PACT'17 will feature artifact evaluation again:
* http://cTuning.org/ae/pact2017.html


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