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

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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Best articles in June 2020

@techreview shared
On Jun 18, 2020
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 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. ...

@techreview shared
On Jun 18, 2020
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 ...

@NandoDF shared
On Jun 8, 2020
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

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

@NandoDF shared
On Jun 8, 2020
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...

@ENERGY shared
On Jun 6, 2020
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

@ENERGY shared
On Jun 6, 2020
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

@hardmaru shared
On Jun 2, 2020
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

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

@hardmaru shared
On Jun 2, 2020
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

@techreview shared
On Jun 8, 2020
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

Build the habits and routines that lead to growth.

@techreview shared
On Jun 8, 2020
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.

@ylecun shared
On Jun 14, 2020
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

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.

@ylecun shared
On Jun 14, 2020
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 ...

@scifri shared
On Jun 19, 2020
@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

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

@scifri shared
On Jun 19, 2020
@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.

@yaringal shared
On Jun 11, 2020
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

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 ...

@yaringal shared
On Jun 11, 2020
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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