AI Essentials

Research

Discover how AI, Machine Learning and advanced algorithms impact our lives, our jobs and the economy thanks to expert articles that include discussion on the potential, limits and consequences of AI

Monthly report: September 2019

This month, The Essentials Report, has curated & analyzed the content published by 174 influencers like Miles Brundage and Peter Skomoroch, discussing hashtags such as #machinelearning , #AI and #NeurIPS2019.
Read our monthly report or learn more about Essentials.

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Best articles in September 2019

@MSFTResearch shared
On Sep 20, 2019
Data-driven algorithm design, reducing ML bias with truncated statistics, and the regularization effect of initial large learning rates—take a deep dive into these topics with @CarnegieMellon’s Nina Balcan, @MIT’s @KonstDaskalakis, & @Stanford’s @tengyuma: https://t.co/WSMIOXJYci
Open

AI Institute “Geometry of Deep Learning” 2019 [Day 2 | Session 2]

Deep learning is transforming the field of artificial intelligence, yet it is lacking solid theoretical underpinnings. This state of affair significantly hinders further progress, as exemplified by time-consuming hyperparameters optimization, or the extraordinary difficulties encountered ...

@MSFTResearch shared
On Sep 20, 2019
Data-driven algorithm design, reducing ML bias with truncated statistics, and the regularization effect of initial large learning rates—take a deep dive into these topics with @CarnegieMellon’s Nina Balcan, @MIT’s @KonstDaskalakis, & @Stanford’s @tengyuma: https://t.co/WSMIOXJYci
Open
AI Institute “Geometry of Deep Learning” 2019 [Day 2 | Session 2]

AI Institute “Geometry of Deep Learning” 2019 [Day 2 | Session 2]

Deep learning is transforming the field of artificial intelligence, yet it is lacking solid theoretical underpinnings. This state of affair significantly hinders further progress, as ...

@MSFTResearch shared
On Sep 21, 2019
Less note-taking in meetings! Conversation transcription technology allows the Azure speech system to transcribe spoken word in real time. Check out how conversation transcription engages everyone in the discussion and increases efficiency: https://t.co/r5VoslSlDC
Open

New Advancements in Spoken Language Processing

Introducing Conversation Transcription, an innovative capability that expands Microsoft’s existing Azure Speech Service! See how past technical breakthroughs helped enable real-time, multi-person, far-field speech transcription and speaker attribution.

@MSFTResearch shared
On Sep 21, 2019
Less note-taking in meetings! Conversation transcription technology allows the Azure speech system to transcribe spoken word in real time. Check out how conversation transcription engages everyone in the discussion and increases efficiency: https://t.co/r5VoslSlDC
Open
New Advancements in Spoken Language Processing

New Advancements in Spoken Language Processing

Introducing Conversation Transcription, an innovative capability that expands Microsoft’s existing Azure Speech Service! See how past technical breakthroughs helped enable real-time, ...

@hardmaru shared
On Oct 2, 2019
I feel a similar work done by @minimaxir which looked at the machine generation of fake news did a much better job of laying out all the issues, and discussing the effectiveness and limitations of SOTA models for such applications. https://t.co/jYrsQJW6f1 https://t.co/X3ATbDakZs
Open

Experiments with Making Convincing AI-Generated Fake News

Can the CTRL model create the “fake news” OpenAI was concerned about? Let's put it to the test.

@hardmaru shared
On Oct 2, 2019
I feel a similar work done by @minimaxir which looked at the machine generation of fake news did a much better job of laying out all the issues, and discussing the effectiveness and limitations of SOTA models for such applications. https://t.co/jYrsQJW6f1 https://t.co/X3ATbDakZs
Open
Experiments with Making Convincing AI-Generated Fake News

Experiments with Making Convincing AI-Generated Fake News

Can the CTRL model create the “fake news” OpenAI was concerned about? Let's put it to the test.

@lawrennd shared
On Sep 21, 2019
@unsorsodicorda @halnegheimish You shoul find a link in the talk notes here: https://t.co/3UtzokUopX
Open

Machine Learning Systems Design

Machine learning solutions, in particular those based on deep learning methods, form an underpinning of the current revolution in “artificial intelligence” that has dominated popular press headline...

@lawrennd shared
On Sep 21, 2019
@unsorsodicorda @halnegheimish You shoul find a link in the talk notes here: https://t.co/3UtzokUopX
Open
Machine Learning Systems Design

Machine Learning Systems Design

Machine learning solutions, in particular those based on deep learning methods, form an underpinning of the current revolution in “artificial intelligence” that has dominated popular press ...

@NVIDIADC shared
On Sep 20, 2019
To deliver the industry’s most versatile GPU platform for #machinelearning, @awscloud announces EC2 G4 instances using NVIDIA's T4 Tensor Core GPU. https://t.co/bWt4VZUXLk https://t.co/nP0ZRDoeAz
Open

Amazon Brings AI Performance to the Cloud with NVIDIA T4 GPUs

NVIDIA T4 GPUs powering new Amazon EC2 G4 instances deliver compute-versatility and efficiency for machine learning, design, cloud gaming and more.

@NVIDIADC shared
On Sep 20, 2019
To deliver the industry’s most versatile GPU platform for #machinelearning, @awscloud announces EC2 G4 instances using NVIDIA's T4 Tensor Core GPU. https://t.co/bWt4VZUXLk https://t.co/nP0ZRDoeAz
Open
Amazon Brings AI Performance to the Cloud with NVIDIA T4 GPUs

Amazon Brings AI Performance to the Cloud with NVIDIA T4 GPUs

NVIDIA T4 GPUs powering new Amazon EC2 G4 instances deliver compute-versatility and efficiency for machine learning, design, cloud gaming and more.

@MSFTResearch shared
On Oct 2, 2019
As open-source machine learning aids good causes, like arts and the environment, @Mhamilton723 runs a Microsoft machine learning library called MMLSpark—boosting access to many technologies in one place. Hear Mark’s thoughts on AI for good: https://t.co/fRbfliQEqe #MSRPodcast
Open

MMLSpark: empowering AI for Good with Mark Hamilton

As open-source machine learning aids good causes, like arts and the environment, Mark Hamilton runs a Microsoft machine learning library called MMLSpark—boosting access to many technologies in one place. Hear Mark’s thoughts on AI for good.

@MSFTResearch shared
On Oct 2, 2019
As open-source machine learning aids good causes, like arts and the environment, @Mhamilton723 runs a Microsoft machine learning library called MMLSpark—boosting access to many technologies in one place. Hear Mark’s thoughts on AI for good: https://t.co/fRbfliQEqe #MSRPodcast
Open
MMLSpark: empowering AI for Good with Mark Hamilton

MMLSpark: empowering AI for Good with Mark Hamilton

As open-source machine learning aids good causes, like arts and the environment, Mark Hamilton runs a Microsoft machine learning library called MMLSpark—boosting access to many technologies ...

@stanfordnlp shared
On Sep 8, 2019
RT @maxjaderberg: New reinforcement learning library rlpyt in pytorch thanks to Adam Stooke from @berkeley_ai (and previously intern with me at @DeepMindAI). There are a whole suite of RL algorithms implemented and framework for small and medium scale distributed training. https://t.co/fjBRsu03MM https://t.co/wKfJwfrjIb
Open

rlpyt

Reinforcement Learning in PyTorch. Contribute to astooke/rlpyt development by creating an account on GitHub.

@stanfordnlp shared
On Sep 8, 2019
RT @maxjaderberg: New reinforcement learning library rlpyt in pytorch thanks to Adam Stooke from @berkeley_ai (and previously intern with me at @DeepMindAI). There are a whole suite of RL algorithms implemented and framework for small and medium scale distributed training. https://t.co/fjBRsu03MM https://t.co/wKfJwfrjIb
Open
rlpyt

rlpyt

Reinforcement Learning in PyTorch. Contribute to astooke/rlpyt development by creating an account on GitHub.

@hmason shared
On Sep 22, 2019
@miguelmalvarez @SignalHQ If you are in town tomorrow evening please do join us for this (free, just RSVP): https://t.co/PegKW7HDuF I'll be there. And otherwise, at the conference Wednesday, if you'd like to chat.
Open

Data Science Wrangle New York

Join practitioners for a night of hacking, socializing and more at Data Science Wrangle on Sept. 23, 2019 in NYC.

@hmason shared
On Sep 22, 2019
@miguelmalvarez @SignalHQ If you are in town tomorrow evening please do join us for this (free, just RSVP): https://t.co/PegKW7HDuF I'll be there. And otherwise, at the conference Wednesday, if you'd like to chat.
Open
Data Science Wrangle New York

Data Science Wrangle New York

Join practitioners for a night of hacking, socializing and more at Data Science Wrangle on Sept. 23, 2019 in NYC.

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

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

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Computer Vision and Machine Learning research scientist at Safran Tech; Inria alumni; PhD from Mines ParisTech

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Research Scientist, Machine Learning/Deep Learning/AI, Google DeepMind. Previous: Google Brain.

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

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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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I enjoy working on AI. Chief scientist at Salesforce. Before: PhD at Stanford then founder and CEO at MetaMind. Taught @CS224d and dabble in photography.

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

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

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News & info about GPU accelerated data centers for high performance computing (HPC), supercomputing, AI/deep learning & AI-accelerated analytics.

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Founder at @FastForwardLabs. Data Scientist in Residence at @accel. I ♥ data and cheeseburgers.

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

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/r/MachineLearning: Research, News, Discussions, Software on: Machine Learning, Data Mining, Text Processing, Information Retrieval, Search Computing and alike

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

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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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