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Artificial intelligence : Monthly report of the latest trends & insights in the AI industry, with latest hashtags and trending concepts.

Monthly report: June 2020

This month, The Essentials Report, has curated & analyzed the content published by 204 influencers like DeepMind and Joanna J Bryson, discussing hashtags such as #AtHomeWithAI , #AI and #icml2020.
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 June 2020

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 June 2020

The startup making deep learning possible without specialized hardware

On Jun 18, 2020
@techreview shared
Startup @neuralmagic wants to help any company make deep learning possible without specialized hardware. https://t.co/ukLfu3ofN3 https://t.co/ZBDycO4f49
Open

The discovery that led Nir Shavit to start a company came about the way most discoveries do: by accident. The MIT professor was working on a project to reconstruct a map of a mouse’s brain and needed some help from deep learning. ...

www.technologyreview.com
On Jun 18, 2020
@techreview shared
Startup @neuralmagic wants to help any company make deep learning possible without specialized hardware. https://t.co/ukLfu3ofN3 https://t.co/ZBDycO4f49
Open

The startup making deep learning possible without specialized hardware

The startup making deep learning possible without specialized hardware

The discovery that led Nir Shavit to start a company came about the way most discoveries do: by accident. The MIT professor was working on a project to reconstruct a map of a mouse’s brain ...

DeepMind x UCL | Deep Learning Lectures | 1/12 | Intro to Machine Learning & AI

On Jun 8, 2020
@NandoDF shared
RT @DeepMind: In this lecture, @ThoreG explains our machine learning based approach towards AI. He shows how deep learning and RL can be combined to build intelligent systems - including AlphaGo, AlphaStar & more. Watch it in full here: https://t.co/rKATzyFddA (@ai_ucl) #AtHomeWithAI https://t.co/Q1asImfQmX
Open

In this lecture DeepMind Research Scientist and UCL Professor Thore Graepel explains DeepMind's machine learning based approach towards AI. He examples of ho...

www.youtube.com
On Jun 8, 2020
@NandoDF shared
RT @DeepMind: In this lecture, @ThoreG explains our machine learning based approach towards AI. He shows how deep learning and RL can be combined to build intelligent systems - including AlphaGo, AlphaStar & more. Watch it in full here: https://t.co/rKATzyFddA (@ai_ucl) #AtHomeWithAI https://t.co/Q1asImfQmX
Open

DeepMind x UCL | Deep Learning Lectures | 1/12 | Intro to Machine Learning & AI

DeepMind x UCL | Deep Learning Lectures | 1/12 | Intro to Machine Learning & AI

In this lecture DeepMind Research Scientist and UCL Professor Thore Graepel explains DeepMind's machine learning based approach towards AI. He examples of ho...

Your AI Story – Sakshi Mishra

On Jun 6, 2020
@ENERGY shared
Using #AI to reduce costs and carbon emissions, increase energy efficiency, and address climate change 🌍-- meet Sakshi Mishra, AI researcher at @NREL. #STEMRising https://t.co/HdXJFF6Ftq https://t.co/00VOOrV01X
Open

Your AI Story – Sakshi Mishra

www.energy.gov
On Jun 6, 2020
@ENERGY shared
Using #AI to reduce costs and carbon emissions, increase energy efficiency, and address climate change 🌍-- meet Sakshi Mishra, AI researcher at @NREL. #STEMRising https://t.co/HdXJFF6Ftq https://t.co/00VOOrV01X
Open

Your AI Story – Sakshi Mishra

Your AI Story – Sakshi Mishra

Your AI Story – Sakshi Mishra

Eye-catching advances in some AI fields are not real

On Jun 2, 2020
@hardmaru shared
There’s also a disincentive for inventors of an algorithm to thoroughly compare its performance with others—only to find that their breakthrough is not what they thought it was. “There’s a risk to comparing 𝘵𝘰𝘰 carefully.” https://t.co/OOAq2qMJie
Open

When tuned up, old algorithms can match the abilities of their successors

www.sciencemag.org
On Jun 2, 2020
@hardmaru shared
There’s also a disincentive for inventors of an algorithm to thoroughly compare its performance with others—only to find that their breakthrough is not what they thought it was. “There’s a risk to comparing 𝘵𝘰𝘰 carefully.” https://t.co/OOAq2qMJie
Open

Eye-catching advances in some AI fields are not real

Eye-catching advances in some AI fields are not real

When tuned up, old algorithms can match the abilities of their successors

Breaking Down the Barriers to Innovation

On Jun 8, 2020
@techreview shared
He’s also written for @HarvardBiz. Here’s his byline on two stories from 2019. #EmTechNext The Top 20 Business Transformations of the Last Decade: https://t.co/6r6FG9KyRF Breaking Down the Barriers to Innovation: https://t.co/TJPowGaqov
Open

Build the habits and routines that lead to growth.

hbr.org
On Jun 8, 2020
@techreview shared
He’s also written for @HarvardBiz. Here’s his byline on two stories from 2019. #EmTechNext The Top 20 Business Transformations of the Last Decade: https://t.co/6r6FG9KyRF Breaking Down the Barriers to Innovation: https://t.co/TJPowGaqov
Open

Breaking Down the Barriers to Innovation

Breaking Down the Barriers to Innovation

Build the habits and routines that lead to growth.

Facebook Research at CVPR 2020

On Jun 14, 2020
@ylecun shared
RT @facebookai: To kick off #CVPR2020, we’re sharing details on several notable papers that propose new ways to reason about the 3D objects shown in regular 2D images. Read more: https://t.co/ZrrzfAiD5Y https://t.co/bFzlINtSIp
Open

Computer vision (CV) researchers and engineers from all over the world will be gathering virtually for the 2020 Conference on Computer Vision and Pattern Recognition (CVPR) from June 14 to June 19, 2020.

ai.facebook.com
On Jun 14, 2020
@ylecun shared
RT @facebookai: To kick off #CVPR2020, we’re sharing details on several notable papers that propose new ways to reason about the 3D objects shown in regular 2D images. Read more: https://t.co/ZrrzfAiD5Y https://t.co/bFzlINtSIp
Open

Facebook Research at CVPR 2020

Facebook Research at CVPR 2020

Computer vision (CV) researchers and engineers from all over the world will be gathering virtually for the 2020 Conference on Computer Vision and Pattern Recognition (CVPR) from June 14 to ...

Protests Shine Light On Facial Recognition Tech Problems

On Jun 19, 2020
@scifri shared
@Hermagoras @DrSarathena192 @jenboyle12 @ruha9 A sneak peek to the extended SciFri extra, in case you're interested. https://t.co/qmrk8IgNEo
Open

AI researchers and advocates discuss abolishing facial recognition tech—and why gradual reforms aren’t enough.

www.sciencefriday.com
On Jun 19, 2020
@scifri shared
@Hermagoras @DrSarathena192 @jenboyle12 @ruha9 A sneak peek to the extended SciFri extra, in case you're interested. https://t.co/qmrk8IgNEo
Open

Protests Shine Light On Facial Recognition Tech Problems

Protests Shine Light On Facial Recognition Tech Problems

AI researchers and advocates discuss abolishing facial recognition tech—and why gradual reforms aren’t enough.

Uncertainty & Robustness in Deep Learning

On Jun 11, 2020
@yaringal shared
RT @SharonYixuanLi: In response to the recent challenging situations, the Uncertainty & Robustness in Deep Learning (UDL) workshop submission deadline is extended to June 14. See https://t.co/AGPgE8UxQx for more information. w/ @balajiln @DanHendrycks @tdietterich @latentjasper @icmlconf. #icml2020
Open

In order to have ML models reliably predict in open environments, we must deepen technical understanding in the emerging areas of: Learning algorithms that can detect changes in data distribution (e.g., out-of-distribution examples). Benchmark datasets and protocols for evaluating model ...

sites.google.com
On Jun 11, 2020
@yaringal shared
RT @SharonYixuanLi: In response to the recent challenging situations, the Uncertainty & Robustness in Deep Learning (UDL) workshop submission deadline is extended to June 14. See https://t.co/AGPgE8UxQx for more information. w/ @balajiln @DanHendrycks @tdietterich @latentjasper @icmlconf. #icml2020
Open

Uncertainty & Robustness in Deep Learning

Uncertainty & Robustness in Deep Learning

In order to have ML models reliably predict in open environments, we must deepen technical understanding in the emerging areas of: Learning algorithms that can detect changes in data ...

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

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

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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

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Building the new energy economy. Reducing nuclear dangers & environmental risks. Expanding the frontiers of knowledge via innovative scientific research.

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Science writer, podcast & video producer, etc. Also Technology Editor at @SciAm

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Associate Professor of Machine Learning, University of Oxford

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WIRED is where tomorrow is realized.

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

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

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Director of research @nvidia, Bren #Professor @Caltech, Fmr Principal scientist @awscloud #AI, https://t.co/ZGlvEV5sKp #MachineLearning #Tensors #feminist

Follow 17.3k Followers

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research scientist at google brain tokyo

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The latest stories in science, brought to you by the @sciencemagazine news team.

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Brain fun for curious people. Hosted by @iraflatow. From @WNYCStudios.

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Distinguished Professor (Emeritus), Oregon State Univ.; Former President, Assoc. for the Adv. of Artificial Intelligence; Robust AI & Comput. Sustainability,

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Research Scientist at Google @DeepMindAI working on machine learning and its applications

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The world's leading outlet for cutting-edge research in all areas of science. Follow @NewsfromScience for stories from our news team.

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MIT's largest research lab, the Computer Science & Artificial Intelligence Lab https://t.co/oEBFg67jYJ #ai #ml #bigdata #iot #nlp #wireless

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News and analysis with a global perspective. Subscribe here: https://t.co/owztJzwlmm

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