Research

Monthly report: January 2020

This month, The Essentials Report, has curated & analyzed the content published by 174 influencers like Microsoft Research and Jeremy Howard, discussing hashtags such as #AI , #MSRPodcast 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 January 2020

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circles
Popular with our readers

Top Hashtags & Sources

Hashtags our readers care about

Top Mentioned Sources

Best articles in January 2020

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.

An AI Epidemiologist Sent the First Warnings of the Wuhan Virus

On Jan 25, 2020
@WIREDScience shared
Artificial intelligence helped detect an outbreak of the coronavirus one week before the CDC issued a warning. https://t.co/APA9Im3KOg
Open

The BlueDot algorithm scours news reports and airline ticketing data to predict the spread of diseases like those linked to the flu outbreak in China.

www.wired.com
On Jan 25, 2020
@WIREDScience shared
Artificial intelligence helped detect an outbreak of the coronavirus one week before the CDC issued a warning. https://t.co/APA9Im3KOg
Open

An AI Epidemiologist Sent the First Warnings of the Wuhan Virus

An AI Epidemiologist Sent the First Warnings of the Wuhan Virus

The BlueDot algorithm scours news reports and airline ticketing data to predict the spread of diseases like those linked to the flu outbreak in China.

Leveraging blockchain to make machine learning models more accessible

On Jan 13, 2020
@MSFTResearch shared
The goal: help democratize AI. The means: Decentralized & Collaborative AI on Blockchain. With the framework, participants can collaboratively train/maintain models and build datasets on public blockchains, where models can be free to use for inference: https://t.co/QMX7nnOooD
Open

Significant advances are being made in artificial intelligence, but accessing and taking advantage of the machine learning systems making these developments possible can be challenging, especially for those with limited resources. ...

www.microsoft.com
On Jan 13, 2020
@MSFTResearch shared
The goal: help democratize AI. The means: Decentralized & Collaborative AI on Blockchain. With the framework, participants can collaboratively train/maintain models and build datasets on public blockchains, where models can be free to use for inference: https://t.co/QMX7nnOooD
Open

Leveraging blockchain to make machine learning models more accessible

Leveraging blockchain to make machine learning models more accessible

Significant advances are being made in artificial intelligence, but accessing and taking advantage of the machine learning systems making these developments possible can be challenging, ...

Microsoft Productivity Research

On Jan 17, 2020
@MSFTResearch shared
We're excited to announce the 2019 Microsoft Productivity Research Collaboration Winners! Discover how recipients from @fhooe, @RiceUniversity, @ucsandiego, @virginia_tech, @Yale, and @USC plan to shape the trajectory of productivity: https://t.co/EsBc4Jx6nT @JTeevan
Open

Microsoft to fund $1 million USD in new collaborative research efforts with university partners so that we can invent the future of productivity together.

www.microsoft.com
On Jan 17, 2020
@MSFTResearch shared
We're excited to announce the 2019 Microsoft Productivity Research Collaboration Winners! Discover how recipients from @fhooe, @RiceUniversity, @ucsandiego, @virginia_tech, @Yale, and @USC plan to shape the trajectory of productivity: https://t.co/EsBc4Jx6nT @JTeevan
Open

Microsoft Productivity Research

Microsoft Productivity Research

Microsoft to fund $1 million USD in new collaborative research efforts with university partners so that we can invent the future of productivity together.

AI Can Do Great Things—If It Doesn't Burn the Planet

On Jan 21, 2020
@lawrennd shared
1/ Sometimes these articles may give the impression that such large spends on model training are an industry-wide phenomenon. My experience is that they aren’t. I’ve always had to justify compute spend just as I would any other cost. https://t.co/YSYqGhO5P8
Open

The computing power required for AI landmarks, such as recognizing images and defeating humans at Go, increased 300,000-fold from 2012 to 2018.

www.wired.com
On Jan 21, 2020
@lawrennd shared
1/ Sometimes these articles may give the impression that such large spends on model training are an industry-wide phenomenon. My experience is that they aren’t. I’ve always had to justify compute spend just as I would any other cost. https://t.co/YSYqGhO5P8
Open

AI Can Do Great Things—If It Doesn't Burn the Planet

AI Can Do Great Things—If It Doesn't Burn the Planet

The computing power required for AI landmarks, such as recognizing images and defeating humans at Go, increased 300,000-fold from 2012 to 2018.

When bias begets bias: A source of negative feedback loops in AI systems

On Jan 21, 2020
@MSFTResearch shared
Examining bias in algorithmic decision making is critical to being sure these systems—which impact key areas of society like school admissions, hiring, & lending—aren’t disadvantaging certain groups. Learn how Microsoft researchers are tackling the issue: https://t.co/N3TmZhmfwb
Open

Examining bias in algorithmic decision making is critical to being sure these systems—which impact key areas of society like school admissions, hiring, and lending—aren’t disadvantaging certain groups. Learn how Microsoft researchers are tackling the issue.

www.microsoft.com
On Jan 21, 2020
@MSFTResearch shared
Examining bias in algorithmic decision making is critical to being sure these systems—which impact key areas of society like school admissions, hiring, & lending—aren’t disadvantaging certain groups. Learn how Microsoft researchers are tackling the issue: https://t.co/N3TmZhmfwb
Open

When bias begets bias: A source of negative feedback loops in AI systems

When bias begets bias: A source of negative feedback loops in AI systems

Examining bias in algorithmic decision making is critical to being sure these systems—which impact key areas of society like school admissions, hiring, and lending—aren’t disadvantaging ...

Phd grant at BSC: Fight Alzheimer’s with AI and Supercomputing

On Jan 17, 2020
@xamat shared
RT @JordiTorresAI: Phd opportunity to fight Alzheimer's with #AI & #HPC at @[email protected]_UPC in Barcelona . Advised by @DocXavi & myself, with the support of Dr @maitegarolera & Prof @radevap For non-resident candidates, part of @BecarislaCaixa INPhINIT Incoming. +info: https://t.co/j7DYLqTEXs
Open

Barcelona Supercomputing Center (BSC-CNS) offers a competitive PhD grant to fight Alzheimer’s with AI and supercomputation.

torres.ai
On Jan 17, 2020
@xamat shared
RT @JordiTorresAI: Phd opportunity to fight Alzheimer's with #AI & #HPC at @[email protected]_UPC in Barcelona . Advised by @DocXavi & myself, with the support of Dr @maitegarolera & Prof @radevap For non-resident candidates, part of @BecarislaCaixa INPhINIT Incoming. +info: https://t.co/j7DYLqTEXs
Open

Phd grant at BSC: Fight Alzheimer’s with AI and Supercomputing

Phd grant at BSC: Fight Alzheimer’s with AI and Supercomputing

Barcelona Supercomputing Center (BSC-CNS) offers a competitive PhD grant to fight Alzheimer’s with AI and supercomputation.

Top Influencers

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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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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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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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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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Leading Engineering at Quora. Netflix alumni. Software, Machine Learning, Data, Recsys... From Barcelona, in the Valley (i.e. immigrant turned coastal elite)

Follow 11.9k Followers

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google brain resident

Follow 8.8k Followers

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Intelligence augmentation. AI. Open science. Author: https://t.co/UuNUwMZbyw. Formerly: quantum computing. Researcher @YCombinator Research

Follow 15.7k Followers

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Technical Fellow at Microsoft Research.

Follow 6.4k 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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Professor of machine learning at the University of Sheffield, on leave at Amazon, all opinions are my own etc

Follow 8.5k Followers

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Researcher at Facebook AI Research. Machine learning geek. Interests for language, cognition, games AI.

Follow 4.0k Followers

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CEO, AIlen Institute for AI (AI2); Professor, Allen School of CS, UW; Venture Partner, Madrona. https://t.co/TqO84WeA9I

Follow 8.6k Followers

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Academic researcher in natural language processing, machine learning, and computational social science.

Follow 4.6k Followers

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Bringing the radiothermally generated heat. The team: @KatieMPalmer, @StocktonSays, @MeganMolteni, and @MrMattSimon.

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

Follow 20.5k Followers

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

Follow 3.3k Followers

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Research Scientist in Statistical Machine Learning. Bayesian reasoning, variational inference, deep learning, reinforcement learning, AI. South African.

Follow 12.5k Followers

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Robot builder

Follow 9.0k Followers

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French/American AI researcher at DeepMind. All opinions my own, and don't reflect DeepMind policy.

Follow 6.3k Followers

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Prof (CS @Stanford), Director (Stanford AI Lab), Chief Scientist AI/ML (Google Cloud), Researcher in #AI, #computervision, #ML, cognitive neuroscience.

Follow 49.5k Followers