Research

Monthly report: February 2020

This month, The Essentials Report, has curated & analyzed the content published by 174 influencers like Jeremy Howard and hardmaru, discussing hashtags such as #AAAI2020 , #NLProc and #AI.
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 February 2020

Global Discussions Across the Web
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circles
Popular with our readers

Top Hashtags & Sources

Hashtags our readers care about

Top Mentioned Sources

Best articles in February 2020

How analog in-memory computing can solve power challenges of edge AI inference

On Feb 6, 2020
@peteskomoroch shared
RT @petewarden: I'm fascinated by the potential of in-memory compute for embedded ML, so I found this article on Microchip's work in the area very interesting: https://t.co/jCyXYYOdCw
Open

Machine learning and deep learning already are integral parts of our lives. Artificial Intelligence (AI) applications via Natural Language Processing

www.embedded.com
On Feb 6, 2020
@peteskomoroch shared
RT @petewarden: I'm fascinated by the potential of in-memory compute for embedded ML, so I found this article on Microchip's work in the area very interesting: https://t.co/jCyXYYOdCw
Open

How analog in-memory computing can solve power challenges of edge AI inference

How analog in-memory computing can solve power challenges of edge AI inference

Machine learning and deep learning already are integral parts of our lives. Artificial Intelligence (AI) applications via Natural Language Processing

Baidu Open-Sources RNA Prediction Algorithm for 2019 Novel Coronavirus

On Feb 4, 2020
@BaiduResearch shared
RT @Synced_Global: [email protected] has already applied LinearFold to the 2019-nCoV, reducing prediction time from 55 minutes to 27 seconds. #CoronavirusOutbreak #nCoV2019 #Health #Baidu #research #AI #Algorithms https://t.co/cSs5FicfYJ
Open

Baidu has already applied LinearFold to the 2019-nCoV, reducing prediction time from 55 minutes to 27 seconds.

medium.com
On Feb 4, 2020
@BaiduResearch shared
RT @Synced_Global: [email protected] has already applied LinearFold to the 2019-nCoV, reducing prediction time from 55 minutes to 27 seconds. #CoronavirusOutbreak #nCoV2019 #Health #Baidu #research #AI #Algorithms https://t.co/cSs5FicfYJ
Open

Baidu Open-Sources RNA Prediction Algorithm for 2019 Novel Coronavirus

Baidu Open-Sources RNA Prediction Algorithm for 2019 Novel Coronavirus

Baidu has already applied LinearFold to the 2019-nCoV, reducing prediction time from 55 minutes to 27 seconds.

Using ‘radioactive data’ to detect if a data set was used for training

On Feb 6, 2020
@amuellerml shared
RT @facebookai: We have developed a new technique to mark the images in a data set so that researchers can determine whether a particular machine learning model has been trained using those images. Learn more about “radioactive data” here. https://t.co/u8eQH8R2jD https://t.co/jKmyDDXFOy
Open

Facebook AI has developed a new technique to mark the images in a data set, so that researchers can then determine if a particular machine learning model...

ai.facebook.com
On Feb 6, 2020
@amuellerml shared
RT @facebookai: We have developed a new technique to mark the images in a data set so that researchers can determine whether a particular machine learning model has been trained using those images. Learn more about “radioactive data” here. https://t.co/u8eQH8R2jD https://t.co/jKmyDDXFOy
Open

Using ‘radioactive data’ to detect if a data set was used for training

Using ‘radioactive data’ to detect if a data set was used for training

Facebook AI has developed a new technique to mark the images in a data set, so that researchers can then determine if a particular machine learning model...

ML and NLP Publications in 2019

On Feb 8, 2020
@weballergy shared
RT @MarekRei: Analysis of ML and NLP publication statistics from 2019. https://t.co/IYN3ecNSlc #machinelearning #NLProc https://t.co/sUFjx45NXc
Open

It is about time we once again take a look at the publication statistics of the past year. 2019 was another record breaking year in…

www.marekrei.com
On Feb 8, 2020
@weballergy shared
RT @MarekRei: Analysis of ML and NLP publication statistics from 2019. https://t.co/IYN3ecNSlc #machinelearning #NLProc https://t.co/sUFjx45NXc
Open

ML and NLP Publications in 2019

ML and NLP Publications in 2019

It is about time we once again take a look at the publication statistics of the past year. 2019 was another record breaking year in…

Why your brain is not a computer

On Mar 2, 2020
@hardmaru shared
RT @tyrell_turing: 1/ I want to very briefly address this article that came out today by @matthewcobb in the Guardian: https://t.co/yaplyTmbIX
Open

The long read: For decades it has been the dominant metaphor in neuroscience. But could this idea have been leading us astray all along?

www.theguardian.com
On Mar 2, 2020
@hardmaru shared
RT @tyrell_turing: 1/ I want to very briefly address this article that came out today by @matthewcobb in the Guardian: https://t.co/yaplyTmbIX
Open

Why your brain is not a computer

Why your brain is not a computer

The long read: For decades it has been the dominant metaphor in neuroscience. But could this idea have been leading us astray all along?

Introducing Ludwig, a Code-Free Deep Learning Toolbox

On Feb 13, 2020
@stanfordnlp shared
RT @w4nderlus7: Exactly one year ago today Ludwig v0.1 was released and announced: https://t.co/lv2xsXVFDz Many talks, videos, awards, stars, issues, commits and PR later, I want to thank everyone who helped me and supported the project. I’m humbled and very grateful. Hold tight v0.3 is coming!
Open

Uber AI developed Ludwig, a code-free deep learning toolbox, to make deep learning more accessible to non-experts and enable faster model iteration cycles.

eng.uber.com
On Feb 13, 2020
@stanfordnlp shared
RT @w4nderlus7: Exactly one year ago today Ludwig v0.1 was released and announced: https://t.co/lv2xsXVFDz Many talks, videos, awards, stars, issues, commits and PR later, I want to thank everyone who helped me and supported the project. I’m humbled and very grateful. Hold tight v0.3 is coming!
Open

Introducing Ludwig, a Code-Free Deep Learning Toolbox

Introducing Ludwig, a Code-Free Deep Learning Toolbox

Uber AI developed Ludwig, a code-free deep learning toolbox, to make deep learning more accessible to non-experts and enable faster model iteration cycles.

Introducing MASS – A pre-training method that outperforms BERT and GPT in sequence to sequence language generation tasks

On Feb 1, 2020
@MSFTResearch shared
In natural language processing, pre-training provides a jump start on training data. Learn how Microsoft researchers made the innovative MASS, a pre-training method to predict masked sentence fragments through an encoder-attention-decoder framework: https://t.co/Bwk9EkcUha
Open

Pre-training is a hot topic in NLP research and models like BERT and GPT have definitely delivered exciting breakthroughs. The challenge is in upping our game in finer sequence to sequence based language generation tasks. Enter MASS

www.microsoft.com
On Feb 1, 2020
@MSFTResearch shared
In natural language processing, pre-training provides a jump start on training data. Learn how Microsoft researchers made the innovative MASS, a pre-training method to predict masked sentence fragments through an encoder-attention-decoder framework: https://t.co/Bwk9EkcUha
Open

Introducing MASS – A pre-training method that outperforms BERT and GPT in sequence to sequence language generation tasks

Introducing MASS – A pre-training method that outperforms BERT and GPT in sequence to sequence language generation tasks

Pre-training is a hot topic in NLP research and models like BERT and GPT have definitely delivered exciting breakthroughs. The challenge is in upping our game in finer sequence to sequence ...

Intel Lays Out Strategy For AI: It’s Habana

On Feb 1, 2020
@jeremyphoward shared
RT @karlfreund: #Intel closes the door on #Nervana, focuses instead on #Havana in a gutsy shift in #AI strategy. # https://t.co/m4eBuTOvlk
Open

Analyst Karl Freund offers his take on Intel's plans to retire its Nervana offering in favor of Habana.

www.forbes.com
On Feb 1, 2020
@jeremyphoward shared
RT @karlfreund: #Intel closes the door on #Nervana, focuses instead on #Havana in a gutsy shift in #AI strategy. # https://t.co/m4eBuTOvlk
Open

Intel Lays Out Strategy For AI: It’s Habana

Intel Lays Out Strategy For AI: It’s Habana

Analyst Karl Freund offers his take on Intel's plans to retire its Nervana offering in favor of Habana.

Top Influencers

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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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google brain resident

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CTO of Jetpac, bought by Google. Apple alumnus, O'Reilly author, blogger, on the TensorFlow team at Google doing deep learning. Email: [email protected]

Follow 11.9k 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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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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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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#Space #tech + #AI loving carbon-based lifeform ♀ @NVIDIA'n #deeplearning #AI DevRel, @petetong`s biggest fan, founder of https://t.co/rYl6Hj2896 + Mum 2 R&B

Follow 3.4k 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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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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Engineer at @Parietal_INRIA, contributes to scikit-learn. Tweets about Python, Machine Learning research in general and Deep Learning in particular.

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

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Technical Fellow at Microsoft Research.

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Author: #themorningpaper, Venture Partner with Accel Partners, London after many years as CTO for SpringSource and then apps at VMware, Pivotal

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data nerd wannabe. google brain robotics. i have no idea what i'm doing...

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Baidu Research, based in Silicon Valley & Beijing, is led by Dr. Yuanqing Lin. #computervision #machinelearning #deeplearning #AI

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Machine learner, python geek and scikit-learn developer. Author of Introduction to Machine Learning with Python. Lecturer at the Columbia Data Science Institute

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co-Founder at https://t.co/ffnBW3N64g | #CreativeAI | #Gitxiv | #EthicalMachines | https://t.co/UlHc4jpFI1 | PhD @KTHuniversity | Stockholm & Amsterdam

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computers and music are fun. https://t.co/MERUm0KXww

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

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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.

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