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mactator

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🎉deadline extended and open access proceedings 🎉#canai2021 #canada #ai #ArtificialIntelligence #openaccess

The #CanAI2021 paper submission deadline is extended to Sunday, February 21st. (anywhere on earth). Last call!



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In April, we had some issues with the Search index📚📚, and there were more last week. Read more about why this can happen, and how we approach communication in these instances. 📢📢 webmasters.googleblog.com/2019/08/when-i…


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If you're interested in that sort of thing, we have posted a postmortem about the outage we had on 2019-07-30. stackstatus.net/post/186957149…


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Join us and @Blizzard_Ent this Thursday at 6:00pm GMT for an exciting #StarCraft demonstration, hosted by @Artosis and @RotterdaM08! Livestream on YouTube: youtube.com/c/deepmind Read more about #StarCraft2 as an environment for AI research: deepmind.com/blog/deepmind-…

GoogleDeepMind's tweet image. Join us and @Blizzard_Ent this Thursday at 6:00pm GMT for an exciting #StarCraft demonstration, hosted by @Artosis and @RotterdaM08! 

Livestream on YouTube: youtube.com/c/deepmind

Read more about #StarCraft2 as an environment for AI research: deepmind.com/blog/deepmind-…

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How can you teach a machine learning system with human language rather than “labels”? With a semantic parser & labeling functions! New #ACL2018 paper by @bradenjhancock @paroma_varma @stephtwang @bringmartino @percyliang & Chris Ré @HazyResearch nlp.stanford.edu/pubs/hancock20… #NLProc

stanfordnlp's tweet image. How can you teach a machine learning system with human language rather than “labels”? With a semantic parser & labeling functions! New #ACL2018 paper by @bradenjhancock @paroma_varma @stephtwang @bringmartino @percyliang & Chris Ré @HazyResearch nlp.stanford.edu/pubs/hancock20… #NLProc

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Launched a new website, explained.ai, dedicated to giving deep but intuitive explanations of machine learning and related topics.


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Tomorrow morning, MILA's own @DBahdanau will present his recent work in collaboration with colleagues from @DeepMindAI on Adversarial Reward Induction. We welcome you to join us in AA-3195, starting at 10:30 AM. Tea Talks are open for all to attend. mila.quebec/cours/rendez-v…

Learning to Follow Language Instructions with Adversarial Reward Induction: arxiv.org/pdf/1806.01946…



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MILA's own @yaroslav_ganin will present his work at @DeepMindAI on Synthesizing Programs for Images, tomorrow at 10:30 AM, in AA-1360 @UMontreal. Bring questions! Tea Talks are open to the public. For a full schedule of upcoming speakers, please visit: mila.quebec/en/cours/tea-t…

By learning to write programs that generate images our artificial agents can reason about how digits, characters and portraits are constructed. Read the blog: deepmind.com/blog/learning-…



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The @mozilla developers at Project DeepSpeech used TensorFlow to implement pre-built speech recognition models Check out their work here → bit.ly/2LtBsvs And add your voice to the open dataset here ↓ mzl.la/2LtBu6y


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This week on #AskTensorFlow, learn about suitable datasets for TensorFlow beginners, retraining models for object recognition, advice for those interested in getting started in AI/ML, and the use of Cloud TPUs. Watch here → bit.ly/2Jx3dG5

TensorFlow's tweet image. This week on #AskTensorFlow, learn about suitable datasets for TensorFlow beginners, retraining models for object recognition, advice for those interested in getting started in AI/ML, and the use of Cloud TPUs.

Watch here → bit.ly/2Jx3dG5

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awk

b0rk's tweet image. awk

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This week on #AskTensorFlow, we recommend some places to start if you're new to ML and you're ready to dive in. We also cover managing categorical inputs, ways to contribute to the TensorFlow project and more. Watch the full episode here → goo.gl/7Fe8Zi

TensorFlow's tweet image. This week on #AskTensorFlow, we recommend some places to start if you're new to ML and you're ready to dive in. 

We also cover managing categorical inputs, ways to contribute to the TensorFlow project and more.

Watch the full episode here → goo.gl/7Fe8Zi

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Colaboratory is an easy way to learn and use TensorFlow, with no setup required Here are 5 tips for getting started ↓ goo.gl/nCUx85


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We're experiencing elevated error rates for user dashboards and are investigating.


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If you are building ML datasets, check out @ScrapyProject and @ScrapingHub! It works so beautifully for extracting data from web pages.


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This week we figure out that machine learning is like, hard. youtu.be/sarVw-iVWgc

welchlabs's tweet image. This week we figure out that machine learning is like, hard. youtu.be/sarVw-iVWgc

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