Research

Monthly report: November 2019

This month, The Essentials Report, has curated & analyzed the content published by 198 influencers like hardmaru and Microsoft Research, discussing hashtags such as #AI , #ComputerVision and #ArtificialIntelligence.
Read our monthly report or learn more about Essentials.

Trending Topics

What matters to our readers VS what matters to the rest of the world in November 2019

Global Discussions Across the Web
Topics discussed by the influencers
circles
Popular with our readers

Top Hashtags & Sources

Hashtags our readers care about

Top Mentioned Sources

Best articles in November 2019

“AI is a lie”

On Nov 15, 2019
@peteskomoroch shared
RT @OReillyMedia: Is #AI a lie? At O'Reilly Foo Camp 2019, @stochastician pierces the hype around artificial intelligence https://t.co/2JmgxlqRCr
Open

Eric Jonas on AI hype and questions of ethics.

www.oreilly.com
On Nov 15, 2019
@peteskomoroch shared
RT @OReillyMedia: Is #AI a lie? At O'Reilly Foo Camp 2019, @stochastician pierces the hype around artificial intelligence https://t.co/2JmgxlqRCr
Open

“AI is a lie”

“AI is a lie”

Eric Jonas on AI hype and questions of ethics.

What Are Major NLP Achievements & Papers From 2019?

On Nov 20, 2019
@thinkmariya shared
We've summarized the 11 NLP research papers from 2019. They cover the top language models introduced this year as well as the latest achievements in sentiment analysis, dialogue systems, and abstractive summarization. Check it out now! #AI #NLP https://t.co/qa6SLlvi9l
Open

Empirically, XLNet outperforms BERT on 20 tasks, often by a large margin, and achieves state-of-the-art results on 18 tasks including question answering, natural language inference, sentiment analysis, and document ranking. In this paper, we propose a Transferable Dialogue State Generator ...

www.topbots.com
On Nov 20, 2019
@thinkmariya shared
We've summarized the 11 NLP research papers from 2019. They cover the top language models introduced this year as well as the latest achievements in sentiment analysis, dialogue systems, and abstractive summarization. Check it out now! #AI #NLP https://t.co/qa6SLlvi9l
Open

What Are Major NLP Achievements & Papers From 2019?

What Are Major NLP Achievements & Papers From 2019?

Empirically, XLNet outperforms BERT on 20 tasks, often by a large margin, and achieves state-of-the-art results on 18 tasks including question answering, natural language inference, ...

Dealing With Bias in Artificial Intelligence

On Nov 21, 2019
@ryan_p_adams shared
RT @TelleWhitney: Great article on bias in AI with @ai4allorg @orussakovsky We are a far cry from getting rid of bias, but the work of these three incredible women gives me hope https://t.co/HS5W1ksbtM
Open

Three women with extensive experience in A.I. spoke on the topic and how to confront it.

www.nytimes.com
On Nov 21, 2019
@ryan_p_adams shared
RT @TelleWhitney: Great article on bias in AI with @ai4allorg @orussakovsky We are a far cry from getting rid of bias, but the work of these three incredible women gives me hope https://t.co/HS5W1ksbtM
Open

Dealing With Bias in Artificial Intelligence

Dealing With Bias in Artificial Intelligence

Three women with extensive experience in A.I. spoke on the topic and how to confront it.

What the Art World Is Failing to Grasp about Christie’s AI Portrait Coup

On Nov 16, 2019
@dribnet shared
@aservais1 another key missing ingredient: Christie’s months long media circus ahead of the first auction. of course building up an art movement is going to take years (decades?) and those of us taking the task seriously aren't going anywhere. @artsy gets it: https://t.co/VyNQ4xT7VY
Open

Closer scrutiny of the creative process behind AI art makes clear it is another form of conceptual art—one that has been around for half a century.

www.artsy.net
On Nov 16, 2019
@dribnet shared
@aservais1 another key missing ingredient: Christie’s months long media circus ahead of the first auction. of course building up an art movement is going to take years (decades?) and those of us taking the task seriously aren't going anywhere. @artsy gets it: https://t.co/VyNQ4xT7VY
Open

What the Art World Is Failing to Grasp about Christie’s AI Portrait Coup

What the Art World Is Failing to Grasp about Christie’s AI Portrait Coup

Closer scrutiny of the creative process behind AI art makes clear it is another form of conceptual art—one that has been around for half a century.

Advanced machine learning helps Play Store users discover personalised apps

On Nov 19, 2019
@weballergy shared
RT @DeepMindAI: In our new blog post, read about a collaboration between DeepMind and the Google Play store, where we applied cutting edge machine learning techniques to improve user experience: https://t.co/dCImiolgcf https://t.co/KHIJgbIosp
Open

We research and build safe AI systems that learn how to solve problems and advance scientific discovery for all. Explore our work: deepmind.com/research

deepmind.com
On Nov 19, 2019
@weballergy shared
RT @DeepMindAI: In our new blog post, read about a collaboration between DeepMind and the Google Play store, where we applied cutting edge machine learning techniques to improve user experience: https://t.co/dCImiolgcf https://t.co/KHIJgbIosp
Open

Advanced machine learning helps Play Store users discover personalised apps

Advanced machine learning helps Play Store users discover personalised apps

We research and build safe AI systems that learn how to solve problems and advance scientific discovery for all. Explore our work: deepmind.com/research

What’s the Difference Between Single-, Double-, Multi- and Mixed-Precision Computing?

On Nov 16, 2019
@NVIDIADC shared
Developers rely on high-precision math for complex scientific simulations, and multi- and mixed-precision techniques are allowing them to optimize computational resources and speed up the training of #AI applications with Tensor Core GPUs. #SC19 https://t.co/3gbq7qpRvy
Open

In double-precision format, each number takes up 64 bits. Single-precision format uses 32 bits, while half-precision is just 16 bits. Multi-precision computing uses processors capable of calculating at different precisions.

blogs.nvidia.com
On Nov 16, 2019
@NVIDIADC shared
Developers rely on high-precision math for complex scientific simulations, and multi- and mixed-precision techniques are allowing them to optimize computational resources and speed up the training of #AI applications with Tensor Core GPUs. #SC19 https://t.co/3gbq7qpRvy
Open

What’s the Difference Between Single-, Double-, Multi- and Mixed-Precision Computing?

What’s the Difference Between Single-, Double-, Multi- and Mixed-Precision Computing?

In double-precision format, each number takes up 64 bits. Single-precision format uses 32 bits, while half-precision is just 16 bits. Multi-precision computing uses processors capable of ...

Loss Landscape | A.I deep learning explorations of morphology & dynamics

On Nov 7, 2019
@ogrisel shared
RT @andrewgwils: Awesome visualization of mode connectivity, created by @Pavel_Izmailov, @tim_garipov, and @ideami. Paper: https://t.co/QF9FUzuDbL Website: https://t.co/ZIgWiTgQzu https://t.co/7wknkaA4Gr
Open

Explore the morphology and dynamics of deep learning optimization processes and gradient descent with the A.I Loss Landscape project.

losslandscape.com
On Nov 7, 2019
@ogrisel shared
RT @andrewgwils: Awesome visualization of mode connectivity, created by @Pavel_Izmailov, @tim_garipov, and @ideami. Paper: https://t.co/QF9FUzuDbL Website: https://t.co/ZIgWiTgQzu https://t.co/7wknkaA4Gr
Open

Loss Landscape | A.I deep learning explorations of morphology & dynamics

Loss Landscape | A.I deep learning explorations of morphology & dynamics

Explore the morphology and dynamics of deep learning optimization processes and gradient descent with the A.I Loss Landscape project.

Ushering Machines into the World of Human Knowledge

On Nov 13, 2019
@stanfordnlp shared
RT @PrincetonCS: Danqi Chen works in natural language processing or #NLP, a fast-moving field that uses #AI to create machines that not only read documents written by humans but also assimilate and manipulate the knowledge that the documents contain. Read more here: https://t.co/ZoTXqjc1bl https://t.co/QZgYSX4nVP
Open

Chen, who joined Princeton’s Computer Science department this fall as an assistant professor, works in natural language processing or NLP— a fast-moving field that uses artificial intelligence to create machines that not only can read documents written by humans but also can assimilate ...

www.cs.princeton.edu
On Nov 13, 2019
@stanfordnlp shared
RT @PrincetonCS: Danqi Chen works in natural language processing or #NLP, a fast-moving field that uses #AI to create machines that not only read documents written by humans but also assimilate and manipulate the knowledge that the documents contain. Read more here: https://t.co/ZoTXqjc1bl https://t.co/QZgYSX4nVP
Open

Ushering Machines into the World of Human Knowledge

Ushering Machines into the World of Human Knowledge

Chen, who joined Princeton’s Computer Science department this fall as an assistant professor, works in natural language processing or NLP— a fast-moving field that uses artificial ...

Top Influencers

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google brain resident

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

Follow 337.4k Followers

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Deep learning researcher & educator. Founder: fast.ai; Faculty: USF & Singularity University; // Previously - CEO: Enlitic; President: Kaggle; CEO Fastmail

Follow 12.6k Followers

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Researching intelligence to understand what we are and to find ways to harness it wisely. I'm a senior CIFAR fellow and an adjunct prof at UBC CS.

Follow 23.3k Followers

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Co-Founder & CEO @Skipflag. Machine learning, AI, social computing. Former Principal Data Scientist @LinkedIn, Engineering @AOL, @MITLL, https://t.co/dMc4qAeQfK

Follow 37.3k Followers

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PhD candidate @uclmr, Machine Learning, Deep Learning, Natural Language Processing, Artificial Intelligence

Follow 3.3k Followers

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AI Policy Research Fellow, Future of Humanity Institute, Oxford. PhD candidate, Human and Social Dimensions of Science and Technology, ASU. Views my own.

Follow 5.0k Followers

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Computational Linguistics—Natural Language—Machine Learning—Deep Learning. And misc technology from Silicon Valley. (@chrmanning, @jurafsky & @percyliang)

Follow 30.3k Followers

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Follow 45.7k Followers

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Founded in 2010. Building Artificial General Intelligence. The creators of #AlphaGo and Atari DQN

Follow 63.6k Followers

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Deep learning @google. Author of Keras, neural networks library. Founder of Wysp, learning platform for artists.

Follow 22.6k Followers

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Assistant Professor of Computer Science and Data Science at NYU

Follow 3.8k Followers

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Head of Research & #Design at @TOPBOTS, strategy & advisory firm in enterprise #ML #AI #bots #chatbots. Writer at @Forbes, maker of lovable #UX & crappy #robots

Follow 12.0k Followers

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Machine Learning Researcher (@GoogleBrain), CS Professor (@Harvard), Entrepreneur (@Whetlab, sold to @Twitter), Podcaster (@TlkngMchns), Dad, Sports Fan

Follow 9.8k Followers

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Computational Design Lecturer at Victoria University School of Design. Neural networks and creative coding.

Follow 2.4k Followers

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Everything related to machine learning and data science in general. Follow @fastml for notifications about new posts and @fastml_viz for data visualizations.

Follow 4.8k Followers

Picture of @weballergy

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

Follow 1.0k Followers

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News & info about GPU accelerated data centers for high performance computing (HPC), supercomputing, AI/deep learning & AI-accelerated analytics.

Follow 23.5k Followers

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Engineer at @Parietal_INRIA, contributes to scikit-learn. Tweets about Python, Machine Learning research in general and Deep Learning in particular.

Follow 18.3k Followers

Picture of @ericjang11

Research engineer at Google Brain. Formerly at Pixar Animation Studios and Two Sigma Investments. Brown '16. I love science. All opinions are my own.

Follow 1.8k Followers