Artificial Intelligence

AI Research

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.

With Essentials, you can instantly get all the latest AI Research Trends in the AI industry on social media & stay up to date on the latest AI Research Trends & Reports

Annual Report 2019

This year, The Essentials Report, has curated & analyzed the content published by 288 influencers like Miles Brundage and hardmaru, discussing hashtags such as #NeurIPS2019 , #ML and #postdoc.
Read our yearly report or learn more about Essentials.

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Best articles in 2019

@egrefen shared
On Jul 3, 2019
RT @GoAbiAryan: Why does most of the bad reporting always happen around games esp OpenAI and DeepMind products? Is over-promising the key reason? Or is it simply the Placebo Effect? https://t.co/754dM1B3jy https://t.co/Pc3P5nyDgZ
Open
Transform 2019: Hear from the movers and shakers in AI

Transform 2019: Hear from the movers and shakers in AI

Artificial intelligence is transforming business and offering significant strategic and practical opportunities, from natural language processing and smart speech to IoT and edge computing. ...

@AlecRad shared
On Feb 15, 2019
RT @mtrc: Shoutout to @katyanna_q who fed the system a curveball, which I always like to see. As you might expect by now after seeing AlphaStar, OpenAI 5 etc. etc., if you drag the system away from its training data and into weirder territory, it begins to wobble. https://t.co/0d3I41df1r https://t.co/gUUXFgiQ3z
Open
Roses are red, this is sublime: We fed OpenAI's latest chat bot a classic Reg headline

Roses are red, this is sublime: We fed OpenAI's latest chat bot a classic Reg headline

'Not safe on database server!' it screamed back as its makers resist releasing full code in case it's abused

@thinkmariya shared
On Jun 7, 2019
RT @kateconger: Alan Turing never had an obituary in the New York Times. Until now. https://t.co/O4wZH2IWKG
Open
Overlooked No More: Alan Turing, Condemned Code Breaker and Computer Visionary

Overlooked No More: Alan Turing, Condemned Code Breaker and Computer Visionary

His ideas led to early versions of modern computing and helped win World War II. Yet he died as a criminal for his homosexuality.

@NandoDF shared
On May 30, 2019
Interview with Geoff Hinton https://t.co/hU6wKVndkj
Open
An AI Pioneer Explains the Evolution of Neural Networks

An AI Pioneer Explains the Evolution of Neural Networks

Google's Geoff Hinton was a pioneer in researching the neural networks that now underlie much of artificial intelligence. He persevered when few others agreed.

@AlisonBLowndes shared
On May 28, 2019
Kurzweil calls AlexNet "AlexaNet" ?? Kind of ironic he's mistaking the iconic ex @GoogleAI now @dessa Tech Advisor Alex Krizhevsky with @Amazon's #AI! #AIforgood https://t.co/0wCrsRkPIL https://t.co/iGKjW3LKNx
Open
The inside story of how AI got good enough to dominate Silicon Valley

The inside story of how AI got good enough to dominate Silicon Valley

You might not know Alex Khrizhevsky's name, but he changed the world of AI forever.

@thinkmariya shared
On May 14, 2019
Emmanuel Ameisen of Insight Data Science has written a detailed but still accessible tutorial that covers a range of #ML approaches to tackling NLP problems, starting with the simplest method and moving on to more nuanced approaches. https://t.co/MFaxs6sXPT #AI #NLP
Open
How To Solve 90% Of NLP Problems: A Step-By-Step Guide

How To Solve 90% Of NLP Problems: A Step-By-Step Guide

Using Machine Learning to understand and leverage text.

@stanfordnlp shared
On Jan 4, 2019
Geoff Hinton on importance of university research—“One worry is that the most fertile source of genuinely new ideas is graduate students being well advised in a university. They have the freedom to come up with genuinely new ideas—we need to preserve that” https://t.co/Zzk9gSeqAg
Open
The 'Godfather of Deep Learning' on Why We Need to Ensure AI Doesn't Just Benefit the Rich

The 'Godfather of Deep Learning' on Why We Need to Ensure AI Doesn't Just Benefit the Rich

Martin Ford made waves with his 2015 book, Rise of the Robots, which details the many accelerating trends in automation and how they’re slated to impact business and, especially, ...

@haldaume3 shared
On May 11, 2019
RT @wgussml: Excited to announce our #NeurIPS2019 competition: The MineRL Competition for Sample-Efficient Reinforcement Learning! With @rsalakhu @katjahofmann @diego_pliebana @flippnflops @svlevine @OriolVinyalsML @chelseabfinn and others! Participate here! https://t.co/p6hrmnLh3o https://t.co/cGzvL5JU6u
Open
Sign up for the competition now!

Sign up for the competition now!

The Task: Obtain Diamond in Minecraft Minecraft is a 3D, first-person, open-world game centered around the gathering of resources and creation of structures and items. The agent begins in a ...

@janexwang shared
On Jun 30, 2019
RT @joavanschoren: We have just opened an exciting #job opportunity as a #postdoc to work on automated #machinelearning (#AutoML) as part of my #Amazon Research Award. We aim to build an AutoML Gym to train top-notch AutoML methods - with #metalearning. Please RT! #ai #ml https://t.co/cScqEZCsGl
Open
Post-doctoral fellow on automatic machine learning (V32.4006)

Post-doctoral fellow on automatic machine learning (V32.4006)

Challenging post-doctoral fellowship on automated machine learning (AutoML). We are building an AutoML playground (an 'AutoML Gym') to train AutoML systems on many different problems and ...

@ylecun shared
On Oct 11, 2019
RT @gradientpub: The war between ML frameworks has raged on since the rebirth of deep learning. Who is winning? @cHHillee's data analysis shows clear trends: PyTorch is winning dramatically among researchers, while Tensorflow still dominates industry. #PyTorch #Tensorflow https://t.co/wgQQZTWcuG
Open
The State of Machine Learning Frameworks in 2019

The State of Machine Learning Frameworks in 2019

Since deep learning regained prominence in 2012, many machine learning frameworks have clamored to become the new favorite among researchers and industry practitioners. From the early ...

@mat_kelcey shared
On Mar 22, 2019
RT @lilianweng: If you are, like me, often ponder over the question of why DNN with so many parameters can generalize without severe overfitting, check this out: https://t.co/7uVIerFboE
Open
Are Deep Neural Networks Dramatically Overfitted?

Are Deep Neural Networks Dramatically Overfitted?

If you are, like me, confused by why deep neural networks can generalize to out-of-sample data points without drastic overfitting, keep on reading.

@rsalakhu shared
On Jul 6, 2019
RT @MSFTResearch: The Machine Learning Summer School gives a broad overview of machine learning topics to help train the next generation of ML researchers. See when MSR's @KatjaHofman will speak about RL and find out how to enter the MineRL Competition 2019 in Minecraft: https://t.co/Pqx3quPuhP
Open
Machine Learning Summer School 2019 MLSS – Mid Course Reception

Machine Learning Summer School 2019 MLSS – Mid Course Reception

Venue: British Library 96 Euston Road London NW1 2DB Walking Map Event for MLSS attendees and invited guests only. Website: MLSS 2019

@weballergy shared
On May 14, 2019
RT @chipro: Top trends I saw at #ICLR2019 include the rise of unsupervised representation learning, RNN losing its luster, GANs still dominating, RL moving towards meta-learning, the return of old school ideas. Great conference for not only ideas but also motivation https://t.co/gmqbnfXgly
Open
Top 8 trends from ICLR 2019

Top 8 trends from ICLR 2019

Disclaimer: This post doesn’t reflect the view of any of the organizations I’m associated with and is probably peppered with my personal and institutional bi...

@peteskomoroch shared
On Nov 15, 2019
RT @OReillyMedia: Is #AI a lie? At O'Reilly Foo Camp 2019, @stochastician pierces the hype around artificial intelligence https://t.co/2JmgxlqRCr
Open
“AI is a lie”

“AI is a lie”

Eric Jonas on AI hype and questions of ethics.

@weballergy shared
On May 25, 2019
RT @demishassabis: Great interview with Fan Hui: “Before I played #AlphaGo, I felt like I knew the world, like I knew many things. But afterwards, everything changed. Now I really believe everything is possible, because I saw something that people thought was impossible.” https://t.co/5ullCpYmhR
Open
Fan Hui: What I learned from losing to DeepMind’s AlphaGo

Fan Hui: What I learned from losing to DeepMind’s AlphaGo

In Ridley Scott’s seminal 1982 film Blade Runner, the sinister Tyrell corporation manufactures eerily human-like robots under the company slogan ‘more European Go champion Fan Hui made ...

Top Influencers

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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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google brain resident

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Head of Research & #Design at @TOPBOTS, strategy & advisory firm in enterprise #ML #AI #bots #chatbots. Writer at @Forbes, maker of lovable #UX & crappy #robots

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

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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

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Assistant Professor of Computer Science and Data Science at NYU

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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.

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Professor at Carnegie Mellon University, Director of AI Research at Apple

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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.

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

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Teaching machines to discover particles. Researcher in #MachineLearning #AI. Post-doc'ing @NYU and @CERN. Scikit-Learn contributor. Belgian.

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

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Founded in 2010. Building Artificial General Intelligence. The creators of #AlphaGo and Atari DQN

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Founder & CEO, DeepMind - the developers of #AlphaGo and Atari DQN. Working on General AI. Trying to understand what is *really* going on in the universe.

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Deep learning @google. Author of Keras, neural networks library. Founder of Wysp, learning platform for artists.

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Machine Learning Researcher (@GoogleBrain), CS Professor (@Harvard), Entrepreneur (@Whetlab, sold to @Twitter), Podcaster (@TlkngMchns), Dad, Sports Fan

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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]

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

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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)

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