Research


WEEKLY REVIEW


Trends


Top hashtags

Top influencers

influencer img MSFTResearch
influencer img dennybritz
influencer img stanfordnlp
influencer img WIREDScience
influencer img BaiduResearch
influencer img hardmaru
influencer img hmason
influencer img agibsonccc
influencer img deliprao

Top sources

source img arxiv.org
source img microsoft.com
source img wired.com
source img unc.peopleadmin.com
source img ethanachi.com
source img note.microsoft.com
source img obscuritory.com
source img openai.com
source img research.baidu.com

Get updates live! Follow us on

Choose your newsletters

News

| 2019

On May 24, 2020
@hugo_larochelle shared
RT @icmlconf: Registration for the virtual-only ICML 2020 is open. https://t.co/0qx6RKuokQ
Open

ICML Website

icml.cc
On May 24, 2020
@hugo_larochelle shared
RT @icmlconf: Registration for the virtual-only ICML 2020 is open. https://t.co/0qx6RKuokQ
Open

| 2019

| 2019

ICML Website



On May 29, 2020
@_rockt shared
RT @lawrennd: New positions in @Cambridge_CL! These Five-Year Fellowships are targeted at the interface of ML & the Sciences. Part of a new initiative I'm leading that's funded by a major philantropic gift. https://t.co/I4QQ72ell1 Multiple positions! Close: 30th June.
Open

Departmental Early Career Academic Fellowships (DECAF) in Machine Learning or Data Science. (Fixed Term)

Departmental Early Career Academic Fellowships (DECAF) in Machine Learning or Data Science. (Fixed Term)

Departmental Early Career Academic Fellowships (DECAF) in Machine Learning or Data Science. (Fixed Term) in the Department of Computer Science and Technology at the University of Cambridge.

On May 23, 2020
@peteskomoroch shared
RT @kdnuggets: The Best NLP with Deep Learning Course is Free - KDnuggets https://t.co/vE0qhZPHAT https://t.co/v06RqwEL4q
Open

The Best NLP with Deep Learning Course is Free

The Best NLP with Deep Learning Course is Free

Stanford's Natural Language Processing with Deep Learning is one of the most respected courses on the topic that you will find anywhere, and the course materials are freely available online.

On May 25, 2020
@kchonyc shared
RT @alvations: You've used NLP open source tools and bore grievances but found solution after hours of coffee and computer staring. Share that at #NLPOSS and suggest how open source could change for the better (e.g. best practices, documentation, API design) https://t.co/DSTtI800J7 #nlproc
Open
On May 27, 2020
@dennybritz shared
RT @seb_ruder: 10 Tips for Research and a PhD I've been asked in the past to provide advice on doing research. Here are 10 tips that worked well for me and will hopefully also be useful to others. https://t.co/zEl0l27Aci
Open

10 Tips for Research and a PhD

10 Tips for Research and a PhD

This post outlines 10 things that I did during my PhD and found particularly helpful in the long run.

On May 26, 2020
@jeremyphoward shared
RT @ducha_aiki: The third block of labs is about CNNs. That is completely done from scratch rather than migrating. Lab1: training ImageNette (kudos to @jeremyphoward ). To implement: the architecture of choice, lr_find @lnsmith613, training loop, one-cycle. 🧶 https://t.co/Iweat79N2h https://t.co/nleLGh6UFg
Open

Convolutional Neural Networks

Convolutional Neural Networks

Deep Convolutional Neural Networks (CNNs) re-entered into the computer vision community recently, especially after the breakthrough paper of Krizhevsky et al. This success initiated an ...

On May 27, 2020
@MSFTResearch shared
Microsoft researcher Sid Sen likes to start with the impossible and work back from there. That’s why he chooses to work on optimal decision making, universal data structures, and verifiably safe AI. Hear why he thinks of synergy as a solution: https://t.co/f9urv1CWxk #MSRPodcast
Open

Harvesting randomness, HAIbrid algorithms and safe AI with Dr. Siddhartha Sen

Harvesting randomness, HAIbrid algorithms and safe AI with Dr. Siddhartha Sen

Episode 116 | May 27, 2020 - Dr. Siddhartha Sen is a Principal Researcher in MSR’s New York City lab, and his research interests are, if not impossible, at least impossible sounding: ...

On May 27, 2020
@BaiduResearch shared
RT @VentureBeat: Baidu open-sources Paddle Quantum toolkit for AI quantum computing research https://t.co/rF46VRBFNg by @Kyle_L_Wiggers
Open

Baidu open-sources Paddle Quantum toolkit for AI quantum computing research

Baidu open-sources Paddle Quantum toolkit for AI quantum computing research

Tech giant Baidu has released Paddle Quantum, a toolkit for AI quantum computing research that's available in open source on GitHub.

On May 26, 2020
@graphific shared
RT @iammanil: Our Workshop Report on Advancing Machine Learning for Earth Science is now available. Thank you to all the participants for providing valuable input, @OurRadiantEarth for hosting us, and @NASAEarthData for sponsoring the workshop. https://t.co/0pcaa9PFBu
Open

Advancing Machine Learning Tools for Earth Science: Workshop Report

Advancing Machine Learning Tools for Earth Science: Workshop Report

The report from the workshop “Advancing Application of Machine Learning Tools for NASA’s Earth Observation Data” is now available.

On May 26, 2020
@hardmaru shared
Fun experiment running DeepLab in realtime https://t.co/xG1PHPW6tn https://t.co/aI9xKvFPgr
Open

DeepLab: Deep Labelling for Semantic Image Segmentation

DeepLab: Deep Labelling for Semantic Image Segmentation

Models and examples built with TensorFlow. Contribute to tensorflow/models development by creating an account on GitHub.

Browse topics

Get updates live! Follow us on

Choose your newsletters

On May 26, 2020
@DeepMind shared
Want to stay up to date with recent work being done in AI safety? @vkrakovna recommends the Alignment Newsletter, a weekly publication on AI alignment curated by @rohinmshah. Read it here: https://t.co/32FLIAW3yy & let us know if you have your own #AtHomeWithAI suggestions!
Open

Alignment Newsletter

Alignment Newsletter

I edit and publish the Alignment Newsletter, a weekly publication with recent content relevant to AI alignment with over 1100 subscribers. It turns out that people don’t notice things when ...

On May 29, 2020
@haldaume3 shared
RT @jennwvaughan: @MSFTResearch There are SO MANY! My colleague @hannawallach and I wrote a whole book chapter on "A Human-Centered Agenda for Intelligible Machine Learning" which outlines open challenges around applying HCAI methods to interpretable/intelligible ML specifically. https://t.co/hgin8Q09IX 1/3
Open

Click here to read the article

Click here to read the article

Following recommendations put forth by the European Commission’s High-Level Experts Group on Artificial Intelligence, we break transparency into three components (HLEG, 2019): • ...

On May 27, 2020
@etzioni shared
Scientific fact-checking using AI language models: COVID-19 research and beyond https://t.co/QDh9LNAdNq
Open

Scientific fact-checking using AI language models: COVID-19 research and beyond

Scientific fact-checking using AI language models: COVID-19 research and beyond

Fact or fiction? That's not always an easy question to answer. Incomplete knowledge, context and bias typically come into play. In the nascent domain of scientific fact checking, things are ...

On May 27, 2020
@BaiduResearch shared
We are proud to announce Paddle Quantum, a #quantum machine learning development toolkit for training quantum neural network models & supporting advanced #QuantumComputing applications. Read more: https://t.co/tg2zwiA63P https://t.co/SpZ6THcLdB
Open

Introducing Paddle Quantum: How Baidu's Deep Learning Platform PaddlePaddle Empowers Quantum Computing

Introducing Paddle Quantum: How Baidu's Deep Learning Platform PaddlePaddle Empowers Quantum Computing

We are proud to announce Paddle Quantum, a quantum machine learning development toolkit that can help scientists and developers quickly build and train quantum neural network models and ...

On May 25, 2020
@_rockt shared
RT @marcgbellemare: @Zergylord That anyone informed would feel this way surprises me -- the ALE has always been designed to be used in block, evaluating on a large set of "testing games" (https://t.co/8lwiTqRMAN). OTOH, increasing the amount of training data to get there does break the spirit of the benchmark.
Open

The Arcade Learning Environment: An Evaluation Platform for General Agents

The Arcade Learning Environment: An Evaluation Platform for General Agents

Abstract In this article we introduce the Arcade Learning Environment (ALE): both a challenge problem and a platform and methodology for evaluating the development of general, ...

On May 23, 2020
@MSFTResearch shared
Since our founding in 1991, Microsoft researchers have published tens of thousands of peer-reviewed papers and created a wealth of tools & datasets. The resources are available to be used across a wide variety of fields. Explore some of our favorite tools: https://t.co/kJGWsg3DIr
Open

Research Collection: Tools and Data to Advance the State of the Art

Research Collection: Tools and Data to Advance the State of the Art

Editor’s Note: In the diverse and multifaceted world of research, individual contributions can add up to significant results over time. In this new series of posts, we’re connecting the ...

On May 28, 2020
@dennybritz shared
Source: https://t.co/h2GvxpESy4
Open

Exclusive: Machine Learning Company Insitro Raises $143 Million To Bridge Biology And AI

Exclusive: Machine Learning Company Insitro Raises $143 Million To Bridge Biology And AI

The company’s series B funding round was led by inventors at Andreessen Horowitz and includes new investor Casdin Capital.

On May 23, 2020
@WIREDScience shared
RT @nxthompson: "I would give it a B-minus at best." A smart essay by @kaifulee about the ways AI has been helpful---and the ways it has fallen short--in the coronavirus crisis. https://t.co/ZxJrpOfucS
Open

Covid-19 Will Accelerate the AI Health Care Revolution

Covid-19 Will Accelerate the AI Health Care Revolution

Disease diagnosis, drug discovery, robot delivery—artificial intelligence is already powering change in the pandemic’s wake. That’s only the beginning.

On May 23, 2020
@ylecun shared
@yogthos @zcknln @mckinley_scan Yes, I've seen Janet. It's cool. It has a similar flavor to the Lisp system Léon Bottou and I built as a front-end for our neural net simulator back in 1987. It was eventually open sourced under name Lush and used actively until the early 2010s. https://t.co/owkzjuWDld
Open

large-scale numerical and graphic applications

large-scale numerical and graphic applications

Lush: the programming language for researchers