Research

Monthly report: July 2019

This month, The Essentials Report, has curated & analyzed the content published by 198 influencers like hardmaru and Stanford NLP Group, discussing hashtags such as #AI , #NeurIPS2019 and #NLProc.
Read our monthly report or learn more about Essentials.

Trending Topics

What matters to our readers VS what matters to the rest of the world in July 2019

Global Discussions Across the Web
Topics discussed by the influencers
circles
Popular with our readers

Top Hashtags & Sources

Hashtags our readers care about

Top Mentioned Sources

Best articles in July 2019

Transform 2019: Hear from the movers and shakers in AI

On Jul 3, 2019
@egrefen shared
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

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

venturebeat.com
On Jul 3, 2019
@egrefen shared
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

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

Machine Learning Summer School 2019 MLSS – Mid Course Reception

On Jul 6, 2019
@rsalakhu shared
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

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

www.microsoft.com
On Jul 6, 2019
@rsalakhu shared
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

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

LakhNES: Generate 8-bit music with machine learning

On Jul 13, 2019
@weballergy shared
RT @chrisdonahuey: Excited to announce our recent work on generating 8-bit music using Transformer! Our LakhNES model uses transfer learning: we pre-train on the heterogeneous Lakh MIDI dataset and fine-tune on NES music 🎶https://t.co/1XrBgzJFz3 📜https://t.co/idRGXU5Vef ⭐️https://t.co/vgHkYkGNEH https://t.co/Bi1C6kwq7G
Open

Generate 8-bit chiptunes with deep learning. Contribute to chrisdonahue/LakhNES development by creating an account on GitHub.

github.com
On Jul 13, 2019
@weballergy shared
RT @chrisdonahuey: Excited to announce our recent work on generating 8-bit music using Transformer! Our LakhNES model uses transfer learning: we pre-train on the heterogeneous Lakh MIDI dataset and fine-tune on NES music 🎶https://t.co/1XrBgzJFz3 📜https://t.co/idRGXU5Vef ⭐️https://t.co/vgHkYkGNEH https://t.co/Bi1C6kwq7G
Open

LakhNES: Generate 8-bit music with machine learning

Generate 8-bit chiptunes with deep learning. Contribute to chrisdonahue/LakhNES development by creating an account on GitHub.

How the Transformers broke NLP leaderboards

On Jul 21, 2019
@hardmaru shared
How the Transformers broke NLP leaderboards, position article by @annargrs. While I believe in doing research under resource constraints, and generally agree with “More Data & Compute = SOTA is Not Research News” there are some good points from both sides. https://t.co/KZBLvIPCLO https://t.co/hffVRRAcsL https://t.co/Tc6rt2wFGR
Open

With the huge Transformer-based models such as BERT, GPT-2, and XLNet, are we losing track of how the state-of-the-art performance is achieved?

hackingsemantics.xyz
On Jul 21, 2019
@hardmaru shared
How the Transformers broke NLP leaderboards, position article by @annargrs. While I believe in doing research under resource constraints, and generally agree with “More Data & Compute = SOTA is Not Research News” there are some good points from both sides. https://t.co/KZBLvIPCLO https://t.co/hffVRRAcsL https://t.co/Tc6rt2wFGR
Open

How the Transformers broke NLP leaderboards

With the huge Transformer-based models such as BERT, GPT-2, and XLNet, are we losing track of how the state-of-the-art performance is achieved?

State of AI Report 2019

On Jul 21, 2019
@thinkmariya shared
RT @karpathy: A bit late to the party here, but "State of AI Report 2019" is a nice overall ambitious attempt at summarizing AI https://t.co/Jw2hNUMTA9 for "research" a bit too much RL and a bit too little vision. Interesting that vision is patented so much more than other areas (p85)
Open

A report that seeks to trigger informed conversation about the state of AI and its implication for the future.

www.stateof.ai
On Jul 21, 2019
@thinkmariya shared
RT @karpathy: A bit late to the party here, but "State of AI Report 2019" is a nice overall ambitious attempt at summarizing AI https://t.co/Jw2hNUMTA9 for "research" a bit too much RL and a bit too little vision. Interesting that vision is patented so much more than other areas (p85)
Open

State of AI Report 2019

A report that seeks to trigger informed conversation about the state of AI and its implication for the future.

How evolutionary selection can train more capable self-driving cars

On Jul 26, 2019
@Miles_Brundage shared
RT @DeepMindAI: We’re excited to announce the results of our research collaboration with @Waymo, applying Population Based Training (PBT) to help make the process of training neural nets in their self-driving cars more effective and efficient. https://t.co/O78PBpdBs1 https://t.co/70kchhbcOO
Open

Waymo’s self-driving vehicles employ neural networks to perform many driving tasks, from detecting objects and predicting how others will behave, to planning a car's next moves. Training an individual neural net has traditionally required weeks of fine-tuning and experimentation, as well ...

deepmind.com
On Jul 26, 2019
@Miles_Brundage shared
RT @DeepMindAI: We’re excited to announce the results of our research collaboration with @Waymo, applying Population Based Training (PBT) to help make the process of training neural nets in their self-driving cars more effective and efficient. https://t.co/O78PBpdBs1 https://t.co/70kchhbcOO
Open

How evolutionary selection can train more capable self-driving cars

Waymo’s self-driving vehicles employ neural networks to perform many driving tasks, from detecting objects and predicting how others will behave, to planning a car's next moves. Training an ...

Introducing the Plato Research Dialogue System: A Flexible Conversational AI Platform

On Jul 16, 2019
@xamat shared
Really interesting #NLP framework for dialogue systems by @UberEng https://t.co/WzjFbmHkgj
Open

The Plato Research Dialogue System enables experts and non-experts alike to quickly build, train, and deploy conversational AI agents.

eng.uber.com
On Jul 16, 2019
@xamat shared
Really interesting #NLP framework for dialogue systems by @UberEng https://t.co/WzjFbmHkgj
Open

Introducing the Plato Research Dialogue System: A Flexible Conversational AI Platform

The Plato Research Dialogue System enables experts and non-experts alike to quickly build, train, and deploy conversational AI agents.

AI adoption is being fueled by an improved tool ecosystem

On Jul 10, 2019
@peteskomoroch shared
RT @OReillyMedia: Moving into the implementation phase of #AI adoption: O'Reily's chief data scientist, @bigdata shares slides and notes and research that shows how companies are beginning to translate AI research results and developments into products and services. https://t.co/zz4gee0zJk
Open

We now are in the implementation phase for AI technologies.

www.oreilly.com
On Jul 10, 2019
@peteskomoroch shared
RT @OReillyMedia: Moving into the implementation phase of #AI adoption: O'Reily's chief data scientist, @bigdata shares slides and notes and research that shows how companies are beginning to translate AI research results and developments into products and services. https://t.co/zz4gee0zJk
Open

AI adoption is being fueled by an improved tool ecosystem

We now are in the implementation phase for AI technologies.

Top Influencers

Picture of @hardmaru

google brain resident

Follow 8.8k 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 @thinkmariya

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

Follow 12.0k Followers

Picture of @Miles_Brundage

AI Policy Research Fellow, Future of Humanity Institute, Oxford. PhD candidate, Human and Social Dimensions of Science and Technology, ASU. Views my own.

Follow 5.0k 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 @NandoDF

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

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 @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 @kastnerkyle

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

Follow 1.5k Followers

Picture of @DeepMindAI

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

Follow 63.6k 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 @jackclarkSF

@openai. Past: @business World's Only Neural Net Reporter. @theregister Distributed Systems Reporter. [email protected]

Follow 17.5k Followers

Picture of @samim

HCI/ML Designer & Code Magician. Building tools for Enlightenment. Narrative Engineering: https://t.co/GpO9blVaQh

Follow 11.1k Followers

Picture of @fchollet

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

Follow 22.6k Followers

Picture of @deliprao

Building @joostware and #FakeNewsChallenge. JHU, Ex-Amazon (Alexa), Twitter, Google. Into: Startups, #NLProc, #machinelearning, Vision, #DeepLearning, 座禅.

Follow 5.2k 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 @glouppe

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

Follow 3.0k Followers

Picture of @pabbeel

Follow 3.3k Followers

Picture of @rsalakhu

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

Follow 18.6k Followers

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