AI Essentials

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AI Essentials publishes only the most insightful links selected by the most trusted experts in the AI & Machine Learning industry.

Monthly report: October 2019

This month, The Essentials Report, has curated & analyzed the content published by 222 influencers like Gary Marcus and Miles Brundage, discussing hashtags such as #AI , #StanfordHumanAI and #LeadershipSummit.
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 October 2019

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Best articles in October 2019

@techreview shared
On Nov 1, 2019
It’s not just you. For many companies, deploying artificial intelligence is slower and more expensive than it might seem. #LeadershipSummit https://t.co/2IHgfbqfqE
Open

This is why AI has yet to reshape most businesses

For many companies, deploying AI is slower and more expensive than it might seem.

@techreview shared
On Nov 1, 2019
It’s not just you. For many companies, deploying artificial intelligence is slower and more expensive than it might seem. #LeadershipSummit https://t.co/2IHgfbqfqE
Open
This is why AI has yet to reshape most businesses

This is why AI has yet to reshape most businesses

For many companies, deploying AI is slower and more expensive than it might seem.

@Miles_Brundage shared
On Oct 5, 2019
@ArtirKel Not sure what you mean by "is it the same" - it's transfer learning, but not all possible aspects of/success levels of transfer learning. The answer is currently no to that Q, but we've crossed other impressive milestones. Beyond images, see https://t.co/EbSSMPpbv0
Open

NLP's ImageNet moment has arrived

Big changes are underway in the world of NLP. The long reign of word vectors as NLP's core representation technique has seen an exciting new line of challengers emerge. These approaches demonstrated that pretrained language models can achieve state-of-the-art results and herald a ...

@Miles_Brundage shared
On Oct 5, 2019
@ArtirKel Not sure what you mean by "is it the same" - it's transfer learning, but not all possible aspects of/success levels of transfer learning. The answer is currently no to that Q, but we've crossed other impressive milestones. Beyond images, see https://t.co/EbSSMPpbv0
Open
NLP's ImageNet moment has arrived

NLP's ImageNet moment has arrived

Big changes are underway in the world of NLP. The long reign of word vectors as NLP's core representation technique has seen an exciting new line of challengers emerge. These approaches ...

@GaryMarcus shared
On Oct 4, 2019
RT @PantheonBooks: From REBOOTING AI authors @GaryMarcus and Ernest Davis: “The great irony of common sense—and indeed AI itself—is that it is stuff that pretty much everybody knows, yet nobody seems to know what exactly it is or how to build machines that possess it.” https://t.co/lNZAvMtlrC
Open

AI's hardest problem? Developing common sense

By Gary Marcus and Ernest Davis Artificial Intelligence has seen radical advances of many kinds over the last years, roundly beating human champions in games like Go and poker that once seemed out of reach. Advances in other domains like speech recognition, machine translation, and photo ...

@GaryMarcus shared
On Oct 4, 2019
RT @PantheonBooks: From REBOOTING AI authors @GaryMarcus and Ernest Davis: “The great irony of common sense—and indeed AI itself—is that it is stuff that pretty much everybody knows, yet nobody seems to know what exactly it is or how to build machines that possess it.” https://t.co/lNZAvMtlrC
Open
AI's hardest problem? Developing common sense

AI's hardest problem? Developing common sense

By Gary Marcus and Ernest Davis Artificial Intelligence has seen radical advances of many kinds over the last years, roundly beating human champions in games like Go and poker that once ...

@drfeifei shared
On Oct 28, 2019
RT @StanfordHAI: NOW LIVE: Our fall conference on AI Ethics, Policy and Governance explores critical and emerging issues related to understanding and guiding #AI's human and societal impact. Watch the livestream on our site: https://t.co/92RNtZXBLb #StanfordHumanAI https://t.co/O2igdb1yzQ
Open

Introducing The Stanford Institute for Human-Centered Artificial Intelligence

Artificial Intelligence has the potential to help us realize our shared dream of a better future for all of humanity, but it will bring with it challenges and opportunities we can’t yet foresee. At Stanford HAI, our vision for the future is led by our commitment to studying, guiding and ...

@drfeifei shared
On Oct 28, 2019
RT @StanfordHAI: NOW LIVE: Our fall conference on AI Ethics, Policy and Governance explores critical and emerging issues related to understanding and guiding #AI's human and societal impact. Watch the livestream on our site: https://t.co/92RNtZXBLb #StanfordHumanAI https://t.co/O2igdb1yzQ
Open
Introducing The Stanford Institute for Human-Centered Artificial Intelligence

Introducing The Stanford Institute for Human-Centered Artificial Intelligence

Artificial Intelligence has the potential to help us realize our shared dream of a better future for all of humanity, but it will bring with it challenges and opportunities we can’t yet ...

@anildash shared
On Oct 11, 2019
RT @NewYorker: We forced a bot to read over 5 million words from The New Yorker’s archive and then asked it to help write a New Yorker story of its own. This is what it wrote. https://t.co/LzXucLpoEi https://t.co/3Fj59azbeb
Open

The New Yorker

How predictive-text technology could transform the future of the written word.

@anildash shared
On Oct 11, 2019
RT @NewYorker: We forced a bot to read over 5 million words from The New Yorker’s archive and then asked it to help write a New Yorker story of its own. This is what it wrote. https://t.co/LzXucLpoEi https://t.co/3Fj59azbeb
Open
The New Yorker

The New Yorker

How predictive-text technology could transform the future of the written word.

@sciencemuseum shared
On Oct 14, 2019
Could robots become artists? On 18 October we're joined by a panel of scientists & artists, including @philipcball & Martha Fiennes, delving into this fascinating debate followed by a screening of Fiennes’s AI artwork Yugen. Book now: https://t.co/ztSBBFTd15 📸Yugen, SLOimage LTD https://t.co/wa5WHSzaD2
Open

Other things to see and do

More and more artists are utilising artificial intelligence as a creative tool. But will AI ever become the artist?

@sciencemuseum shared
On Oct 14, 2019
Could robots become artists? On 18 October we're joined by a panel of scientists & artists, including @philipcball & Martha Fiennes, delving into this fascinating debate followed by a screening of Fiennes’s AI artwork Yugen. Book now: https://t.co/ztSBBFTd15 📸Yugen, SLOimage LTD https://t.co/wa5WHSzaD2
Open
Other things to see and do

Other things to see and do

More and more artists are utilising artificial intelligence as a creative tool. But will AI ever become the artist?

@sama shared
On Oct 15, 2019
RT @OpenAI: We've trained an AI system to solve the Rubik's Cube with a human-like robot hand. This is an unprecedented level of dexterity for a robot, and is hard even for humans to do. The system trains in an imperfect simulation and quickly adapts to reality: https://t.co/O04izt3KvO https://t.co/8lGhU2pPck
Open

Solving Rubik’s Cube with a Robot Hand

We've trained a pair of neural networks to solve the Rubik’s Cube with a human-like robot hand.

@sama shared
On Oct 15, 2019
RT @OpenAI: We've trained an AI system to solve the Rubik's Cube with a human-like robot hand. This is an unprecedented level of dexterity for a robot, and is hard even for humans to do. The system trains in an imperfect simulation and quickly adapts to reality: https://t.co/O04izt3KvO https://t.co/8lGhU2pPck
Open
Solving Rubik’s Cube with a Robot Hand

Solving Rubik’s Cube with a Robot Hand

We've trained a pair of neural networks to solve the Rubik’s Cube with a human-like robot hand.

@GaryMarcus shared
On Oct 28, 2019
Seen that @techreview piece on "neural net solves the three-body problem 100 million times faster”? here are some counterpoints from my collaborator Ernie Davis: re https://t.co/qxITd7EqIi #toyproblems https://t.co/3lJnnp5DKK
Open

A neural net solves the three-body problem 100 million times faster

Machine learning provides an entirely new way to tackle one of the classic problems of applied mathematics.

@GaryMarcus shared
On Oct 28, 2019
Seen that @techreview piece on "neural net solves the three-body problem 100 million times faster”? here are some counterpoints from my collaborator Ernie Davis: re https://t.co/qxITd7EqIi #toyproblems https://t.co/3lJnnp5DKK
Open
A neural net solves the three-body problem 100 million times faster

A neural net solves the three-body problem 100 million times faster

Machine learning provides an entirely new way to tackle one of the classic problems of applied mathematics.

Top Influencers

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Scientist, best-selling author, and entrepreneur. Founder/CEO of Geometric Intelligence (acquired by Uber).

Follow 27.2k Followers

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Research Scientist (Policy) at OpenAI. Research Associate, Future of Humanity Institute, University of Oxford. Views my own.

Follow 19.7k Followers

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A media company making technology a greater force for good. Get our journalism: https://t.co/rbg0HN1XQI

Follow 955.8k Followers

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I research intelligence to understand what we are, and to harness it wisely. Principal Scientist at DeepMind, CIFAR Fellow, Adj Prof UBC

Follow 60.2k Followers

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research scientist at google brain tokyo

Follow 56.3k Followers

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TED is a nonprofit devoted to spreading ideas. #TED2019. Find your next favorite TED Talk with TED Recommends: https://t.co/YCWAuV711r

Follow 11.2M Followers

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Prof (CS @Stanford), Co-Director Stanford Human-Centered AI Institute @StanfordHAI, CoFounder/Chair @ai4allorg, Researcher #AI #computervision #ML AI+healthcare

Follow 309.8k Followers

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I work at Facebook AI Research. I created PyTorch. I've co-authored WGAN and DCGAN research papers

Follow 63.6k Followers

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Artificial & Natural Intelligence; Cognition, Culture, & Society; AI Ethics, Safety, & Policy. Vaguely professional tweets—for more: @j2blather; fewer: @j2breve

Follow 18.5k Followers

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WIRED is where tomorrow is realized.

Follow 10.4M Followers

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Professor of machine learning at the University of Sheffield, co-host with @kgorman of @TlkngMchns. Currently on leave at Amazon, opinions are my own.

Follow 20.6k Followers

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CEO of 🎏@Glitch, where everyone on the web can create the web together. Host of @podcastfunction. I 💜 ethical tech, mangoes, funk, transit & justice.

Follow 594.7k Followers

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Science news & opinion from the news team at Nature, the international journal of #science. Get our daily newsletter: https://t.co/jy3hdnoX0w

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Welcome to the home of human ingenuity. We curate a world-renowned collection & organise exhibitions and events for over 3 million visitors a year.

Follow 668.8k Followers

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Professor at Imperial College London and senior research scientist at DeepMind. Tweeting in a personal capacity. To send me a message please use email

Follow 8.1k Followers

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ready player sama

Follow 695.0k Followers

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OpenAI’s mission is to ensure that artificial general intelligence benefits all of humanity. We're hiring: https://t.co/XxM7UoAwz9

Follow 352.2k Followers

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Google VP & Engineering Fellow, former Penn professor, ML/NLP researcher, fanatic skier: https://t.co/DSkEvNupwJ

Follow 14.5k Followers

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Deputy editor @QuantaMagazine. Fan of bicycles, sourdough, evidence. Old tweets auto-deleted.

Follow 8.4k Followers

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Searching for the probabilistic principles of intelligence. Research Scientist in ML&AI @DeepmindAI. Strengthening African ML @DeepIndaba. South African 🇿🇦🌍

Follow 29.5k Followers