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
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
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
OpenArtificial 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…
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
OpenTransform 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
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
OpenVenue: British Library 96 Euston Road London NW1 2DB Walking Map Event for MLSS attendees and invited guests only. Website: MLSS 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
OpenMachine 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
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
OpenGenerate 8-bit chiptunes with deep learning. Contribute to chrisdonahue/LakhNES development by creating an account on GitHub.
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
OpenLakhNES: 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
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
OpenWith 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?
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
OpenHow 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
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)
OpenA report that seeks to trigger informed conversation about the state of AI and its implication for the future.
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)
OpenState 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
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
OpenWaymo’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 ...
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
OpenHow 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
The Plato Research Dialogue System enables experts and non-experts alike to quickly build, train, and deploy conversational AI agents.
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
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
OpenWe now are in the implementation phase for AI technologies.
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
OpenAI adoption is being fueled by an improved tool ecosystem
We now are in the implementation phase for AI technologies.
