Research

Monthly report: August 2020

This month, The Essentials Report, has curated & analyzed the content published by 168 influencers like Microsoft Research and Shakir Mohamed, discussing hashtags such as #AI , #ICML2020 and #neurips2020.
Read our monthly report or learn more about Essentials.

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What matters to our readers VS what matters to the rest of the world in August 2020

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Popular with our readers

Top Hashtags & Sources

Hashtags our readers care about

Top Mentioned Sources

Best articles in August 2020

OpenCV Sudoku Solver and OCR

On Aug 10, 2020
@fchollet shared
RT @PyImageSearch: New tutorial!🚀 Automatic Sudoku solver with #OpenCV, #Python, and #DeepLearning - Train digit recognizer with #Keras and #TensorFlow - Solve puzzle automatically - Includes full tutorial https://t.co/98Ye5vviFI 👍 #MachineLearning #ArtificialIntelligence #AI #DataScience https://t.co/dHVWKyvXUE
Open

In this tutorial, you will create an automatic sudoku puzzle solver using OpenCV, Deep Learning, and Optical Character Recognition (OCR).

www.pyimagesearch.com
On Aug 10, 2020
@fchollet shared
RT @PyImageSearch: New tutorial!🚀 Automatic Sudoku solver with #OpenCV, #Python, and #DeepLearning - Train digit recognizer with #Keras and #TensorFlow - Solve puzzle automatically - Includes full tutorial https://t.co/98Ye5vviFI 👍 #MachineLearning #ArtificialIntelligence #AI #DataScience https://t.co/dHVWKyvXUE
Open

OpenCV Sudoku Solver and OCR

OpenCV Sudoku Solver and OCR

In this tutorial, you will create an automatic sudoku puzzle solver using OpenCV, Deep Learning, and Optical Character Recognition (OCR).

Tokyo

On Aug 18, 2020
@hardmaru shared
RT @heiga_zen: Google Research Tokyo page is now live! https://t.co/n350p6s8LM
Open

Tokyo

research.google
On Aug 18, 2020
@hardmaru shared
RT @heiga_zen: Google Research Tokyo page is now live! https://t.co/n350p6s8LM
Open

ICML 2020 highlights: A Transformer-based RL agent, causal ML for increased privacy, and more

On Aug 4, 2020
@MSFTResearch shared
Microsoft researchers are helping to advance ML in such areas as accessibility and healthcare. If you missed it, check out their contributions to #ICML2020, including Transformer-based RL agents and causal learning for increased utility and privacy: https://t.co/N9AOI2Jo1R
Open

With over 50 papers from Microsoft accepted at this year’s International Conference on Machine Learning (ICML 2020), a number of which were presented in virtual workshops, Microsoft researchers are in full summer swing when it comes to advancing machine learning in accessibility, privacy, ...

www.microsoft.com
On Aug 4, 2020
@MSFTResearch shared
Microsoft researchers are helping to advance ML in such areas as accessibility and healthcare. If you missed it, check out their contributions to #ICML2020, including Transformer-based RL agents and causal learning for increased utility and privacy: https://t.co/N9AOI2Jo1R
Open

ICML 2020 highlights: A Transformer-based RL agent, causal ML for increased privacy, and more

ICML 2020 highlights: A Transformer-based RL agent, causal ML for increased privacy, and more

With over 50 papers from Microsoft accepted at this year’s International Conference on Machine Learning (ICML 2020), a number of which were presented in virtual workshops, Microsoft ...

China Is What Orwell Feared

On Aug 1, 2020
@hardmaru shared
Related article in @TheAtlantic by @Andersen “In China’s most prominent AI startups—SenseTime, CloudWalk, Megvii, Hikvision, iFlytek, Meiya Pico—Xi has found willing commercial partners. And in Xinjiang’s Muslim minority, he has found his test population.”https://t.co/mM03ZFskVn
Open

Xi Jinping is using artificial intelligence to enhance his government’s totalitarian control—and he’s exporting this technology to regimes around the globe.

www.theatlantic.com
On Aug 1, 2020
@hardmaru shared
Related article in @TheAtlantic by @Andersen “In China’s most prominent AI startups—SenseTime, CloudWalk, Megvii, Hikvision, iFlytek, Meiya Pico—Xi has found willing commercial partners. And in Xinjiang’s Muslim minority, he has found his test population.”https://t.co/mM03ZFskVn
Open

China Is What Orwell Feared

China Is What Orwell Feared

Xi Jinping is using artificial intelligence to enhance his government’s totalitarian control—and he’s exporting this technology to regimes around the globe.

Queering Machine

On Aug 7, 2020
@NandoDF shared
RT @shakir_za: I was extremely excited to give a short talk on 'Queering Machine Learning'. Queering is an approach for a more critical ML that is available to us all. Thank you @QueerinAI workshop @icmlconf #ICML2020 🙏🏾🏳️‍🌈🥳✊🏾. Video, text, slides here 👇🏾 https://t.co/ezXCpGzWs4
Open

I am incredibly humbled to have been able to give a short talk at the Queer in AI workshop at ICML2020. This is the text of the talk. Watch the video. Look through the slides. What an experience we…

blog.shakirm.com
On Aug 7, 2020
@NandoDF shared
RT @shakir_za: I was extremely excited to give a short talk on 'Queering Machine Learning'. Queering is an approach for a more critical ML that is available to us all. Thank you @QueerinAI workshop @icmlconf #ICML2020 🙏🏾🏳️‍🌈🥳✊🏾. Video, text, slides here 👇🏾 https://t.co/ezXCpGzWs4
Open

Queering Machine

Queering Machine

I am incredibly humbled to have been able to give a short talk at the Queer in AI workshop at ICML2020. This is the text of the talk. Watch the video. Look through the slides. What an ...

Introducing Learned Motion Matching

On Aug 9, 2020
@kastnerkyle shared
RT @anorangeduck: Happy to announce our new SIGGRAPH paper this year - Learned Motion Matching. We use Machine Learning to vastly reduce the memory usage of Motion Matching - allowing it to scale to huge databases of animation. Check out the blog post for more info: https://t.co/aBgH01XP2Y https://t.co/EqDK8BqJsS
Open

Here is our result with this inertialization blending applied: And that’s it – by choosing different kinds of features to match we can build animation systems that achieve different kinds of tasks, such as interaction with props, navigation over rough terrain, or even reactions to other ...

montreal.ubisoft.com
On Aug 9, 2020
@kastnerkyle shared
RT @anorangeduck: Happy to announce our new SIGGRAPH paper this year - Learned Motion Matching. We use Machine Learning to vastly reduce the memory usage of Motion Matching - allowing it to scale to huge databases of animation. Check out the blog post for more info: https://t.co/aBgH01XP2Y https://t.co/EqDK8BqJsS
Open

Introducing Learned Motion Matching

Introducing Learned Motion Matching

Here is our result with this inertialization blending applied: And that’s it – by choosing different kinds of features to match we can build animation systems that achieve different kinds ...

Machine learning, better, together

On Aug 8, 2020
@ogrisel shared
@jmschreiber91 Do you know a good canonical opendata benchmark dataset / task that we could upload to https://t.co/3awOuqNaqw and use to write an example in the scikit-learn documentation to illustrate this pitfall?
Open

OpenML: exploring machine learning better, together. An open science platform for machine learning.

www.openml.org
On Aug 8, 2020
@ogrisel shared
@jmschreiber91 Do you know a good canonical opendata benchmark dataset / task that we could upload to https://t.co/3awOuqNaqw and use to write an example in the scikit-learn documentation to illustrate this pitfall?
Open

Machine learning, better, together

Machine learning, better, together

OpenML: exploring machine learning better, together. An open science platform for machine learning.

Google’s TF-Coder tool automates machine learning model design

On Aug 9, 2020
@fchollet shared
RT @DynamicWebPaige: "TF-Coder considers 134 tensor-manipulation operations of the 500 in @TensorFlow, including reshapes, filters, aggregations, maps, indexing, slicing, grouping, sorting, and mathematical operations." Give an input and a desired output, and get back code. https://t.co/Odn292wdue https://t.co/tfPtIJuyHt
Open

Google researchers developed a tool, TF-Coder, that automates the process of developing AI and machine learning models in TensorFlow.

venturebeat.com
On Aug 9, 2020
@fchollet shared
RT @DynamicWebPaige: "TF-Coder considers 134 tensor-manipulation operations of the 500 in @TensorFlow, including reshapes, filters, aggregations, maps, indexing, slicing, grouping, sorting, and mathematical operations." Give an input and a desired output, and get back code. https://t.co/Odn292wdue https://t.co/tfPtIJuyHt
Open

Google’s TF-Coder tool automates machine learning model design

Google’s TF-Coder tool automates machine learning model design

Google researchers developed a tool, TF-Coder, that automates the process of developing AI and machine learning models in TensorFlow.

Top Influencers

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Founded in 1991, Microsoft Research is dedicated to conducting both basic and applied research in computer science and software engineering.

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Towards the Intelligent Machinery of Grace. Research Scientist @DeepMind. Strengthening African ML @DeepIndaba. He/Him. South African 🇿🇦🏳️‍🌈🌍

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research scientist at google brain 🧠 香港人 🏴

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🇦🇺 Distinguished research scientist: @usfca Deep learning R&D & education: https://t.co/ZvDGNlehRt Software: https://t.co/GMYkPDXNW3 Book: https://t.co/1YSqXvWW87 Course: https://t.co/Q2qMl59EfH

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Machine Learning, AI, Data Science Exec & Investor. Past: Cofounder/CEO @SkipFlag (acq by @Workday), @Accel EIR, Early data team lead @LinkedIn, ML @AOL @MIT

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Computational Linguistics—Natural Language—Machine Learning—Deep Learning @chrmanning—@jurafsky—@percyliang—@ChrisGPotts—@tatsu_hashimoto at @StanfordAILab

Follow 95.2k Followers

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Deep learning @google. Creator of Keras. Author of 'Deep Learning with Python'. Opinions are my own.

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I research intelligence to understand what we are, and to harness it wisely. Principal scientist at DeepMind, CIFAR Fellow once full Professor at UBC and Oxford

Follow 80.8k Followers

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Google Brain researcher, machine learning professor, ex-Twitter Cortex, father of 4, wine/music/comedy enthusiast

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Associate Professor of CS and DS at @nyuniversity & @CILVRatNYU pro bono office hours: https://t.co/CqzAsZcR82

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Human. Ex Google Brain, Stanford, Cal. Lived in 🇯🇵🇩🇪🇺🇸🇰🇷🇹🇭 + tweet about AI+startups. Writing at https://t.co/CdsP5UPqGi. Opinions are not really my own.

Follow 48.9k Followers

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Associate Professor of Machine Learning, University of Oxford @OATML_Oxford Group Leader

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Machine learning PhD and AI enthusiast. Research engineer at DeepMind. Opinions are my own. Re-tweets and favorites not to be considered as endorsements.

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#Space+#AI loving carbon-based lifeform ♀ @[email protected]_AI Lifelong @petetong fan, swimmer, Manchester 🐝 born, https://t.co/rYl6Hj2896 founder 🌻

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Cofounder-CTO @CuraiHQ. Former Quora VP Eng. Led ML algos at Netflix. ML, AI, eHealth, Recsys, Software. Catalan in the Valley. Long distance runner & Ironman.

Follow 19.2k Followers

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Professor at NYU. Chief AI Scientist at Facebook. Researcher in AI, Machine Learning, etc. ACM Turing Award Laureate.

Follow 219.2k Followers

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computers and music are fun https://t.co/MERUm0KXww https://t.co/u4xVFVPfiv "music": https://t.co/FwFYPyH9wI

Follow 3.1k Followers

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Engineer at @Inria, scikit-learn developer supported by https://t.co/6xVeamXYPa. Tweets about Python and Machine Learning / Deep Learning.

Follow 28.7k Followers

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Machine learner, Python geek and scikit-learn developer. Principal Research SDE @AzureData @Microsoft

Follow 43.3k Followers

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Data nerd wannabe.

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