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Discover the latest AI research & find out how AI, Machine Learning and advanced algorithms impact our lives, our jobs and the economy, all thanks to expert articles that include discussion on the potential, limits and consequences of AI.

Artificial Intelligence

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In the Last 48 hours there's been 12 influencers like DeepMind and stanfordnlp, discussing topics such as #AI, #GTC22and #GridCodes.

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source img arxiv.org
source img algorithmiclearningtheory.org
source img future.a16z.com
source img mml-book.github.io
source img nlp.stanford.edu
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source img perceiving-systems.blog
source img deepmind.com
source img nvidia.com
source img slideshare.net

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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Best articles in January 2020

@MSFTResearch shared
On Feb 1, 2020
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

www.microsoft.com

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

@MSFTResearch shared
On Feb 1, 2020
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 ...

@jeremyphoward shared
On Feb 1, 2020
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

www.forbes.com

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

@jeremyphoward shared
On Feb 1, 2020
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.

@WIREDScience shared
On Jan 25, 2020
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

www.wired.com

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.

@WIREDScience shared
On Jan 25, 2020
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.

@MSFTResearch shared
On Jan 13, 2020
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

www.microsoft.com

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. ...

@MSFTResearch shared
On Jan 13, 2020
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, ...

@MSFTResearch shared
On Jan 17, 2020
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

www.microsoft.com

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

@MSFTResearch shared
On Jan 17, 2020
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.

@lawrennd shared
On Jan 21, 2020
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

www.wired.com

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

@lawrennd shared
On Jan 21, 2020
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.

@MSFTResearch shared
On Jan 21, 2020
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

www.microsoft.com

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.

@MSFTResearch shared
On Jan 21, 2020
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 ...

@xamat shared
On Jan 17, 2020
RT @JordiTorresAI: Phd opportunity to fight Alzheimer's with #AI & #HPC at @BSC_CNS+@la_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

torres.ai

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

@xamat shared
On Jan 17, 2020
RT @JordiTorresAI: Phd opportunity to fight Alzheimer's with #AI & #HPC at @BSC_CNS+@la_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 trending topics

Top Influencers

Picture of @MSFTResearch

Founded in 1991, Microsoft Research is dedicated to conducting both basic and applied research in computer science and software engineering.

Follow 337.4k Followers

Picture of @jeremyphoward

Deep learning researcher & educator. Founder: fast.ai; Faculty: USF & Singularity University; // Previously - CEO: Enlitic; President: Kaggle; CEO Fastmail

Follow 12.6k Followers

Picture of @peteskomoroch

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

Picture of @stanfordnlp

Computational Linguistics—Natural Language—Machine Learning—Deep Learning. And misc technology from Silicon Valley. (@chrmanning, @jurafsky & @percyliang)

Follow 30.3k Followers

Picture of @xamat

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

Picture of @hardmaru

google brain resident

Follow 8.8k Followers

Picture of @michael_nielsen

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

Follow 15.7k Followers

Picture of @erichorvitz

Technical Fellow at Microsoft Research.

Follow 6.4k Followers

Picture of @weballergy

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

Picture of @lawrennd

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

Follow 8.5k Followers

Picture of @syhw

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

Follow 4.0k Followers

Picture of @etzioni

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

Follow 8.6k Followers

Picture of @nlpnoah

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

Follow 4.6k Followers

Picture of @WIREDScience

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

Follow 2.0M Followers

Picture of @hugo_larochelle

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

Follow 20.5k Followers

Picture of @_rockt

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

Follow 3.3k Followers

Picture of @shakir_za

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

Follow 12.5k Followers

Picture of @rodneyabrooks

Robot builder

Follow 9.0k Followers

Picture of @egrefen

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

Follow 6.3k Followers

Picture of @drfeifei

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

Follow 49.5k Followers

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