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Prikvačeni tweet
Exciting news:
@Google Brain expands to Amsterdam

Looking forward to working on core AI challenges with @TimSalimans, Lasse Espeholt and researchers across Google and beyond! For RE and RS roles, reach out or apply here: https://goo.gl/kddYNs Great times ahead!https://twitter.com/JeffDean/status/1016705664725340160 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
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Short but sweet paper on recurrent autoencoder architectures for speech compression. We systematically explore the space of RNN-AEs and show that the best method, dubbed FRAE, outperforms classical codecs by a large margin. Check it out! https://twitter.com/gsautiere/status/1221502307982094337 …pic.twitter.com/43A7bkWnAc
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Valsts prezidents Egils Levits
@valstsgriba šodien Cīrihē tikās ar Google mākslīgā intelekta pētniekiem. Diskusijas noritēja par digitālām tehnoloģijām, kā novērst to radītos riskus sabiedrībai.pic.twitter.com/DWSc2LP91X
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New assistant prof opening at AMLAB @ U. Amsterdam https://www.uva.nl/shared-content/uva/en/vacancies/2019/10/19-720-assistant-professor-in-machine-learning-at-the-amsterdam-machine-learning-lab.html?origin=IDU2lUJuTL6pmHQa%2FNN%2B4g …
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Solar-powered
Autonomous
Scalable
The Interceptor removes up to 100,000 kg of plastic from rivers per day. This is how it works:pic.twitter.com/RX33OuZ8pXHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
OMG, thanks
@TheOceanCleanup for building thishttps://twitter.com/TheOceanCleanup/status/1188157163367272449 …
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New paper! We perform a systematic study of transfer learning for NLP using a unified text-to-text model, then push the limits to achieve SoTA on GLUE, SuperGLUE, CNN/DM, and SQuAD. Paper: https://arxiv.org/abs/1910.10683 Code/models/data/etc: https://git.io/Je0cZ Summary
(1/14)pic.twitter.com/VP1nkkHefB
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A uniquely most remarkable result that just 8 years ago while I was studying quantum computing I never thought I would witness so soon. Congrats to the
@GoogleAI Quantum group!https://twitter.com/GoogleAI/status/1187036595259498497 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
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Neural architecture evolution, a new method for automatically finding optimal neural networks for video understanding, has yielded architectures that outperform existing hand-made models and show improvements to network runtime of 10-100x. Learn more ↓https://goo.gle/32siUVa
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New research demonstrates how a model for multilingual
#MachineTranslation of 100+ languages trained with a single massive#NeuralNetwork significantly improves performance on both low- and high-resource language translation. Read all about it at: https://goo.gle/325DlY4 pic.twitter.com/N8TogHbbC6Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
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Our ocean cleanup system is now finally catching plastic, from one-ton ghost nets to tiny microplastics! Also, anyone missing a wheel?pic.twitter.com/Oq0rkXO3TH
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It's inspiring to see
@TheOceanCleanup achieve this impressive first milestone in collecting ocean plastic https://twitter.com/BoyanSlat/status/1179297214541303808 …Tweet je nedostupan.Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
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Today, we're launching our Waymo Open Dataset. This high resolution lidar and camera data has been collected by our self-driving cars across a diverse range of situations. We're excited to share it directly with the research community. Download now: http://waymo.com/open pic.twitter.com/xCFjqJPWYG
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Great Pacfic Garbage Patch plastic, concentrated >10,000x by the cleanup system. Also note the buildup of very small pieces on the left.pic.twitter.com/SQq5E7ncYl
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Super proud of work from my teammate
@JonathanHeek from Google Brain Amsterdam: Scales up Bayesian Inference with a sampler that outperforms all ImageNet models that don't use batch norm. Important added benefit is accurate uncertainty estimates, via rigorous calibration testinghttps://twitter.com/NalKalchbrenner/status/1162011094724042755 …
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Bayesian Inference for Large Scale Image Classification https://deepai.org/publication/bayesian-inference-for-large-scale-image-classification … by Jonathan Heek and
@nalkalchbrenner#MarkovChain#BatchNormalizationHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
@JonathanHeek it was so much fun to see the steady crazy progress on this project!Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Announcing exciting progress in Bayesian deep learning: the new ATMC sampler achieves first of its kind Bayesian inference results on ImageNet Check out the results and the paper
Heek et al: http://arxiv.org/abs/1908.03491 pic.twitter.com/zhc2oN1AD4
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The call for papers for our
@NeurIPSConf Graph Representation Learning Workshop is out! Submit your papers by 9 September: http://grlearning.github.io/cfp/ w/ co-organizers@vdbergrianne,@mmbronstein,@williamleif, Stefanie Jegelka,@jure,@lrjconan,@yizhousun,@PetarV_93pic.twitter.com/er1eXYrJzX
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Recent work on "Unsupervised Data Augmentation" (UDA) reveals that better data augmentation leads to better semi-supervised learning, with state-of-the-art results on various language and vision benchmarks, using one or two orders of magnitude less data.https://goo.gle/2G3Tq7u
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There is an old misconception that common sense is rooted in language. IMHO, common sense emerges from knowing how the world works. It has more to do with intuitive physics than with language. But when your world involves communicating with humans, language becomes part of it.
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