AI Essentials

Research

Discover how AI, Machine Learning and advanced algorithms impact our lives, our jobs and the economy thanks to expert articles that include discussion on the potential, limits and consequences of AI

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.

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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
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Popular with our readers

Best articles in November 2019

@peteskomoroch shared
On Nov 15, 2019
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”

Eric Jonas on AI hype and questions of ethics.

@peteskomoroch shared
On Nov 15, 2019
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.

@thinkmariya shared
On Nov 20, 2019
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?

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 ...

@thinkmariya shared
On Nov 20, 2019
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, ...

@ryan_p_adams shared
On Nov 21, 2019
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

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

@ryan_p_adams shared
On Nov 21, 2019
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.

@dribnet shared
On Nov 16, 2019
@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

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.

@dribnet shared
On Nov 16, 2019
@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.

@weballergy shared
On Nov 19, 2019
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

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

@weballergy shared
On Nov 19, 2019
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

@NVIDIADC shared
On Nov 16, 2019
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?

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.

@NVIDIADC shared
On Nov 16, 2019
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 ...

@ogrisel shared
On Nov 7, 2019
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

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

@ogrisel shared
On Nov 7, 2019
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.

@stanfordnlp shared
On Nov 13, 2019
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

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 ...

@stanfordnlp shared
On Nov 13, 2019
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 ...

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