In the Last 48 hours there's been 14 influencers like MSFTResearch and peteskomoroch, discussing topics such as #AIforGood, #DeepLearningand #GreenAI.



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  RichardSocher
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  yoavgo
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News

CS224n: Natural Language Processing with Deep Learning

On Jan 26, 2021
@stanfordnlp shared
RT @ImAI_Eruel: スタンフォード大学の深層学習を使った自然言語処理に関する人気講義"Natural Language Processing with Deep Learning"が開講され,講義の資料や,推薦図書・文献が公開されています https://t.co/tTWXY1zrtf 言語処理の講義では間違いなく世界最先端で,内容は近年のNLP研究の動向をかなり反映してます https://t.co/bkOMcHHH7x
Open

Course Description Natural language processing (NLP) is one of the most important technologies of the information age. There are a large variety of underlying tasks and machine learning models behind NLP applications. On the model side we will cover word vector representations, ...

web.stanford.edu
On Jan 26, 2021
@stanfordnlp shared
RT @ImAI_Eruel: スタンフォード大学の深層学習を使った自然言語処理に関する人気講義"Natural Language Processing with Deep Learning"が開講され,講義の資料や,推薦図書・文献が公開されています https://t.co/tTWXY1zrtf 言語処理の講義では間違いなく世界最先端で,内容は近年のNLP研究の動向をかなり反映してます https://t.co/bkOMcHHH7x
Open

CS224n: Natural Language Processing with Deep Learning

CS224n: Natural Language Processing with Deep Learning

Course Description Natural language processing (NLP) is one of the most important technologies of the information age. There are a large variety of underlying tasks and machine learning ...


On Jan 26, 2021
@hardmaru shared
RT @SchmidhuberAI: 30-year anniversary of Very #DeepLearning (1991). Unsupervised hierarchical #PredictiveCoding finds compact internal representations to facilitate downstream learning. 1993: solving problems of depth 1000. Hierarchy can be distilled into a single deep net https://t.co/IQ5s8ZQQir
Open

1991: First very deep learning with unsupervised pre-training

1991: First very deep learning with unsupervised pre-training

It uses unsupervised learning and predictive coding in a deep hierarchy of recurrent neural networks (RNNs) to find compact internal representations of long sequences of data. In other ...

On Jan 26, 2021
@deliprao shared
RT @ChrSzegedy: Ongoing seminar "New Technologies in Mathematics: at Harvard: https://t.co/Kz7JNjGgc3 With links to Video/slides of Josef Urban on AI for theorem proving to my talk on Language Modeling for mathematical reasoning.
Open

New Technologies in Mathematics Seminar Series

New Technologies in Mathematics Seminar Series

of Computer Science, Princeton University Title: A Mathematical Exploration of Why Language Models Help Solve Downstream Tasks Abstract: Autoregressive language models pretrained on large ...

On Jan 25, 2021
@xamat shared
RT @tw_killian: @xamat There's been a few attempts to do just this in RL over the last few years. First, Deepmind: https://t.co/NS3TV4cwpk Then Berkeley/OpenAI: https://t.co/UP76gqsBXb And then there was a flavor of this w/ Neural Episodic Control that didn't fully catch on: https://t.co/owztEXt8Nj
Open

: Fast Reinforcement Learning via Slow Reinforcement Learning

: Fast Reinforcement Learning via Slow Reinforcement Learning

Deep reinforcement learning (deep RL) has been successful in learning sophisticated behaviors automatically; however, the learning process requires a huge number of trials. In contrast, ...

On Jan 26, 2021
@RichardSocher shared
RT @SFResearch: Thank you to everyone who submitted a proposal to our third annual Salesforce AI Research Grant. We’re proud to announce our 2020 round of winners. Congratulations!! @bluevincent @Diyi_Yang @mutembesa @danqi_chen Read More: https://t.co/wiTV9lbsMe
Open

Celebrating the Winners of the Third Annual Salesforce AI Research Grant

Celebrating the Winners of the Third Annual Salesforce AI Research Grant

We are proud to announce the 2020 winners of our Salesforce AI Research Grant. Each of our winners will receive a $50K grant to advance their work and help us shape the future of AI.

On Jan 25, 2021
@MSFTResearch shared
RT @ashleyllorens: Today I start my first full week leading the global outreach team @MSFTResearch. Extremely grateful for this opportunity to help amplify the impact of research @Microsoft and advance the cause of science and technology research around the world: https://t.co/dR65VkikQJ
Open

Ashley Llorens

Ashley Llorens

I lead the global outreach team at Microsoft Research (MSR) – our mission is to amplify the impact of research at Microsoft and to advance the…

On Jan 25, 2021
@WIREDScience shared
Machine learning programs trained with patient reports, rather than doctors', find problems that doctors miss—especially in Black people. https://t.co/u967lmupmV
Open

New Algorithms Could Reduce Racial Disparities in Health Care

New Algorithms Could Reduce Racial Disparities in Health Care

Machine learning programs trained with patient reports, rather than doctors', find problems that doctors miss—especially in Black people.

On Jan 26, 2021
@WIREDScience shared
DALL-E drew laughs for creating images of a daikon radish in a tutu. But it builds on an important advance in computer vision with serious applications. https://t.co/OaM2gwwPO0
Open

This AI Could Go From ‘Art’ to Steering a Self-Driving Car

This AI Could Go From ‘Art’ to Steering a Self-Driving Car

DALL-E drew laughs for creating images of a daikon radish in a tutu. But it builds on an important advance in computer vision with serious applications.

On Jan 25, 2021
@kchonyc shared
RT @lintool: @redpony Aside: for the audience lacking context, @redpony and I, literally, wrote a book about scale in NLP together: https://t.co/l6S5LDEwRs
Open

Data-Intensive Text Processing with MapReduce

Data-Intensive Text Processing with MapReduce

Processing the enormous quantities of data necessary for these advances requires large clusters, making distributed computing paradigms more crucial than ever. MapReduce is a programming ...

On Jan 25, 2021
@yoavgo shared
@emilymbender Here is an example of a (very cool) application of BERT in a corpus study that explores atypical animacy. https://t.co/0nlJRPMnnY
Open

Click here to read the article

Click here to read the article

Conceptualization Mariona Coll Ardanuy1,5 Daniel CS Wilson1,5 Methodology Mariona Coll Ardanuy Federico Nanni1 Kasra Hosseini1 Implementation Federico Nanni Kasra Hosseini Mariona Coll ...

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On Jan 25, 2021
@MSFTResearch shared
Congratulations to the 2021 Microsoft Research Ada Lovelace Fellowship recipients! The program aims to increase the pipeline of diverse talent receiving advanced degrees in computing-related fields. Learn more about our third cohort of fellows: https://t.co/7C6t2Ms7gM
Open

Ada Lovelace Fellowship

Ada Lovelace Fellowship

Ada Lovelace Fellowship 2019: Nominations being accepted now through October 9, 2018

On Jan 27, 2021
@ylecun shared
Webinar, tomorrow at 17:00 Paris time / 11:00 AM EST! With the Prodigious Martial Hébert (Dean of CMU School of Computing). 1st in a series in which speakers are expatriated French AI researchers. I'll be talking on March 3. [Talks are in English]. https://t.co/AgYIBm289v
Open

France is AI Talks: monthly events by the PRAIRIE Institute with France Digitale | Inria

France is AI Talks: monthly events by the PRAIRIE Institute with France Digitale | Inria

France Digitale and the PRAIRIE Institute are launching France is AI Talks, a monthly event with the best French AI researchers living abroad. The year’s programme will begin with Yann Le ...

On Jan 25, 2021
@MSFTResearch shared
Microsoft Excel the programming language is evolving. With the recent release of LAMBDA, users can now define new functions in the program’s formula language. Learn about the capability & its role in the transformation of spreadsheet formulas: https://t.co/gl17HXESks #POPL2021
Open

LAMBDA: The ultimate Excel worksheet function

LAMBDA: The ultimate Excel worksheet function

Microsoft Excel the programming language is evolving. With the recent release of LAMBDA, users can now define new functions in the program’s formula language. Learn about the capability and ...

On Jan 26, 2021
@RichardSocher shared
Diagnosing breast cancer is challenging but determining the best therapy is even harder. ReceptorNet from @SFResearch helps doctors make clinical decisions for breast cancer treatment therapy via cues not visible to the human eye. https://t.co/4d6isqTNYQ by @nikhil_ai et al.
Open

ReceptorNet Helps Doctors Make Clinical Decisions for Breast Cancer Treatment

ReceptorNet Helps Doctors Make Clinical Decisions for Breast Cancer Treatment

Part of the difficulty of treating breast cancer is the genomic variability of the patient population, as well as the different forms the cancer can take.

On Jan 26, 2021
@etzioni shared
RT @allen_ai: The TLDR feature on @SemanticScholar is a single-sentence summary that helps you get the gist of a paper quickly, right on the search results page – check out this TLDR for our "Green AI" paper. Want to give it a read? Find it here: https://t.co/83YIkPbJV5 #GreenAI #AIforGood https://t.co/MeOL2zcRuV
Open

Green AI

Green AI

Creating efficiency in AI research will decrease its carbon footprint and increase its inclusivity as deep learning study should not require the deepest pockets.

On Jan 26, 2021
@stanfordnlp shared
RT @susansivek: Fascinating research on how descriptions of chatbots and metaphors employed can shape user expectations and evaluation. How to Build a Likable Chatbot https://t.co/bTnrlAMCRF https://t.co/PAbH3geAsX
Open

How to Build a Likable Chatbot

How to Build a Likable Chatbot

Consumers have consistent personality preferences for their online friends, new research shows.

On Jan 25, 2021
@MSFTResearch shared
We're excited to announce the 2021 Microsoft Research PhD Fellowship recipients! For over two decades, our PhD Fellowship has supported nearly 300 outstanding students pursuing exceptional research. Learn more about our 10 new fellows: https://t.co/7Ogsk9jc0K
Open

PhD Fellowship

PhD Fellowship

The Microsoft PhD Fellowship Program is a two-year fellowship for PhD students enrolled in Computer Science, Electrical Engineering, or Mathematics.

On Jan 26, 2021
@jackclarkSF shared
Computation influences geopolitics (chip supply chain), IT sovereignty (GAIA-X), and qs about accessibility/efficiency of 'AI infrastructure'. So it's weird governments don't track it. That's going to change via a @OECD project I'm proud to be a part of! https://t.co/CYKkg6hHn3 https://t.co/rhyUyRxrfu
Open

Why the OECD wants to calculate the AI compute needs of national governments

Why the OECD wants to calculate the AI compute needs of national governments

The OECD is working to help countries better understand their AI compute demand needs and prepare for the future.

On Jan 25, 2021
@peteskomoroch shared
RT @yoavgo: an amusing observation: today's so called "huge LMs" are only very recently catching up in param size, and are still way WAAY behind in training data size, compared to the ngram-based LMs used in Google Translate back in 2007. https://t.co/HwmRi0brPb
Open

Large Language Models in Machine Translation

Large Language Models in Machine Translation

Simplified, the map, sharding and reduce functions do the following: Map(string key, string value) { // key=docid, ignored; value=document array words = Tokenize(value); hash_map histo; for ...

On Jan 25, 2021
@OpenAI shared
Scaling Kubernetes to 7,500 nodes: https://t.co/DSPU3zNufY
Open

Scaling Kubernetes to 7,500 Nodes

Scaling Kubernetes to 7,500 Nodes

We've scaled Kubernetes clusters to 7,500 nodes, producing a scalable infrastructure for large models like GPT-3, CLIP, and DALL·E, but also for rapid small-scale iterative research such as ...

On Jan 25, 2021
@xamat shared
RT @ACMRecSys: Are you an industry practitioner with a story tell? Then this one is for you ! The #RecSys2021 Call for Industry Talk Proposal is out. Check out our website for this, and of course other calls: https://t.co/iagx2wMGaH
Open

Call for Contributions

Call for Contributions

Preference elicitation Privacy and security Socially- and context-aware recommender systems Systems challenges such as scalability, data quality, and performance User studies Authors will ...