In the Last 48 hours there's been 24 influencers like stanfordnlp and MSFTResearch, discussing topics such as #AI, #DeepLearningand #DataScience.



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News

Too many AI researchers think real-world problems are not relevant

On Oct 20, 2020
@NandoDF shared
RT @suchisaria: AI/ML tweeps, here is a must read. It’s a wonderful article questioning whether we are spending our valuable brain cycles on the right research questions. If you disagree, I’d love to hear why. If you agree, what can be done to accelerate this? https://t.co/NO7TSubCex
Open

Any researcher who’s focused on applying machine learning to real-world problems has likely received a response like this one: “The authors present a solution for an original and highly motivating problem, but it is an application and the significance seems limited for the ...

www.technologyreview.com
On Oct 20, 2020
@NandoDF shared
RT @suchisaria: AI/ML tweeps, here is a must read. It’s a wonderful article questioning whether we are spending our valuable brain cycles on the right research questions. If you disagree, I’d love to hear why. If you agree, what can be done to accelerate this? https://t.co/NO7TSubCex
Open

Too many AI researchers think real-world problems are not relevant

Too many AI researchers think real-world problems are not relevant

Any researcher who’s focused on applying machine learning to real-world problems has likely received a response like this one: “The authors present a solution for an original and highly ...


On Oct 21, 2020
@RichardSocher shared
RT @mtlaiethics: AI Ethics newsletter 27: • AI Economist: RL is the Future for Equitable Economic Policy (@[email protected]) • Is the Human Being Lost in the Hiring Process? (@Csi_wright) • Algorithms Deciding the Future of Legal Decisions (@Brooke_Criswell) https://t.co/f9hvdexCTC
Open

AI Ethics #27: The Guest Edition

AI Ethics #27: The Guest Edition

We've rounded up 7 of our top guest posts and lined them up in one place for your reading pleasure!

On Oct 20, 2020
@stanfordnlp shared
RT @Ronald_vanLoon: ‘Samsung #AI Forum 2020’ to Explore Future of #ArtificialIntelligence by Kim Eun-jin @Business_Korea Read more https://t.co/bmcOAQeoVu #BigData #MachineLearning #ML #MI #DataScience #DL #Tech #DeepLearning Cc: @dalithsteiger @stanfordnlp @stratorob https://t.co/Q9GSOn3Zd0
Open

‘Samsung AI Forum 2020’ to Explore Future of Artificial Intelligence

‘Samsung AI Forum 2020’ to Explore Future of Artificial Intelligence

Samsung Electronics Co. announced on Oct. 6 that it will hold the Samsung AI Forum 2020 online via its YouTube channel for two days from Nov. 2-3.Marking its fourth anniversary this year, ...

On Oct 20, 2020
@WIREDScience shared
A study finds that only 11 percent of firms that have deployed artificial intelligence are reaping a “sizable” return on their investments. https://t.co/ES6BOi3QvY
Open

Companies Are Rushing to Use AI—but Few See a Payoff

Companies Are Rushing to Use AI—but Few See a Payoff

A study finds that only 11 percent of firms that have deployed artificial intelligence are reaping a “sizable” return on their investments.

On Oct 20, 2020
@jackclarkSF shared
What happens when GPT2 is replaced by GPT3? Or GPTX is replaced by GPTY? Can we imagine futures where models are preserved in archives for study by humans - and eventually by other robots? A story, from Import AI 219 https://t.co/6BfzchwFGr https://t.co/ICMv1Mi5Kx
Open

Import AI 219: Climate change and function approximation; Access Now leaves PAI; LSTMs are smarter than they seem

Import AI 219: Climate change and function approximation; Access Now leaves PAI; LSTMs are smarter than they seem

LSTMs: Smarter than they appear:…Turns out you don’t need to use a Transformer to develop rich, combinatorial representations…Long Short-Term Memory networks are one of the widely-used …

On Oct 20, 2020
@NandoDF shared
RT @jeffclune: https://t.co/KxhxPp7eZV
Open

A.I. creativity is improving fast. This hilarious GPT3-generated film is proof

A.I. creativity is improving fast. This hilarious GPT3-generated film is proof

People have been training A.I. to write movie scripts for years, but this one is different. It showcases just how far A.I. creativity has come.

On Oct 20, 2020
@shakir_za shared
RT @OleWinther1: 3 year postdoc in machine learning methods development for multi-scale modelling of battery materials https://t.co/iGwczWxskD
Open

Postdoc in Machine Learning Model Development focused on Multiscale Materials Data

Postdoc in Machine Learning Model Development focused on Multiscale Materials Data

Apply online The section of Cognitive Systems at DTU Compute, Technical University of Denmark (DTU) is looking for outstanding candidates for a 3-year postdoc position within the field of ...

On Oct 19, 2020
@weballergy shared
RT @SuryaGanguli: Our review article on Coherent Ising machines, a quantum computer built out of photons whose classical limit is a neural network, is now published in Applied Physics Letters: https://t.co/qplomu19D2 has connections to chaos, spin glasses, message passing, and neural computation https://t.co/myvSorgtnm
Open

Coherent Ising machines—Quantum optics and neural network Perspectives

Coherent Ising machines—Quantum optics and neural network Perspectives

A coherent Ising machine (CIM) is a network of optical parametric oscillators (OPOs), in which the “strongest” collective mode of oscillation at well above threshold corresponds to an ...

On Oct 20, 2020
@peteskomoroch shared
RT @petewarden: Thanks to an amazing team of authors, we've just posted the official @TensorFlow Lite Micro paper on Arxiv: https://t.co/sqxoHPyd6q Lots of juicy details about the design and tradeoffs involved, what worked and what didn't!
Open

TensorFlow Lite Micro:Embedded Machine Learning on TinyML Systems

TensorFlow Lite Micro:Embedded Machine Learning on TinyML Systems

Briefly, we can distill the general issues facing many of the frameworks into the following: • Inability to easily and portably deploy models across multiple embedded hardware architectures ...

On Oct 19, 2020
@kchonyc shared
@zacharylipton not ambitious enough! my goal is to replace it with a single sentence: "see https://t.co/um2iovb7DF"
Open

About

About

Kyunghyun Cho Associate Professor CILVR Group Computer Science (Courant Institute) and Center for Data Science New York University CIFAR Associate Fellow of Learning in Machines & Brains ...

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On Oct 20, 2020
@stanfordnlp shared
RT @johnhewtt: #emnlp2020 paper: we give some theoretical insight into the syntactic success of RNN LMs: we prove they can implement bounded-size stacks in their states to generate some bounded hierarchical langs with optimal memory! paper https://t.co/FZ1qloMXLt blog https://t.co/pjKgYm9cf1 https://t.co/6UNixUkan0
Open

Click here to read the article

Click here to read the article

While considerable empiri- cal work has studied RNN language models’ ability to capture syntactic properties of language (Linzen et al., 2016; Marvin and Linzen, 2018; Hewitt and Manning, ...

On Oct 20, 2020
@hardmaru shared
RT @slashML: Interpretable Machine Learning: A Brief History, State-of-the-Art and Challenges https://t.co/VNbv9NwVkm
Open
On Oct 21, 2020
@shakir_za shared
RT @arkrause: If you're looking for Ph.D. positions in AI this year, consider applying to the new Fellowship program of the recently launched ETH AI Center: https://t.co/aYI5tWXUWK @ETH_en
Open

Fellowship Programmes

Fellowship Programmes

ETH AI Center Doctoral Fellowships The ETH AI Center offers a unique fellowship program, designed to foster interdisciplinary collaboration and a positive impact to society. All PhD fellows ...

On Oct 19, 2020
@gdb shared
RT @AmandaAskell: The OpenAI applied team is looking for a bias and fairness engineer! https://t.co/WiUmi9co2f
Open

Bias and Fairness Engineer, Applied AI

Bias and Fairness Engineer, Applied AI

We’re looking for someone with expertise on bias and fairness in ML and preferably in Natural Language Processing to join our Applied AI team and help us ensure that our products are ...

On Oct 20, 2020
@glouppe shared
RT @DeepMind: Understanding quantum mechanics is a key to advancing chemistry and material science, but the math is notoriously difficult to handle. In a study published in @PhysRevResearch, our researchers show how deep learning can help tame these equations: https://t.co/44TGIGxKxe https://t.co/LxGc0koOmG
Open

FermiNet: Quantum Physics and Chemistry from First Principles

FermiNet: Quantum Physics and Chemistry from First Principles

We’ve developed a new neural network architecture, the Fermionic Neural Network or FermiNet, which is well-suited to modeling the quantum state of large collections of electrons, the ...

On Oct 20, 2020
@hardmaru shared
RT @pfau: A big day for the FermiNet! We just put out a blog post on our recent @PhysRevResearch article, as well as open-sourcing the code: https://t.co/j0I9Zj1H65 https://t.co/p2EQxTgAS8
Open

FermiNet: Fermionic Neural Networks

FermiNet: Fermionic Neural Networks

An implementation of the Fermionic Neural Network for ab-initio electronic structure calculations - deepmind/ferminet

On Oct 20, 2020
@jackclarkSF shared
Relevant paper here: Measurement in AI Policy: Opportunities and Challenges https://t.co/zBsbJtSDjH
Open

Measurement in AI Policy: Opportunities and Challenges

Measurement in AI Policy: Opportunities and Challenges

As artificial intelligence increasingly influences our world, it becomes crucial to assess its technical progress and societal impact. This paper surveys problems and opportunities in the ...

On Oct 19, 2020
@drfeifei shared
RT @StanfordHAI: HAI Distinguished Fellow Barbara Grosz discusses launching Harvard's Embedded EthiCS program to prepare the next generation of tech workers to think more ethically about their work: https://t.co/IWY26vLlb1
Open

Trailblazing initiative marries ethics, tech

Trailblazing initiative marries ethics, tech

Faculty from the Computer Science and Philosophy departments join forces in a successful new undergraduate initiative, Embedded EthiCS, to change the way computer scientists think about the ...

On Oct 20, 2020
@stanfordnlp shared
RT @johnhewtt: #emnlp2020 paper: we give some theoretical insight into the syntactic success of RNN LMs: we prove they can implement bounded-size stacks in their states to generate some bounded hierarchical langs with optimal memory! paper https://t.co/FZ1qloMXLt blog https://t.co/pjKgYm9cf1 https://t.co/6UNixUkan0
Open

The Unreasonable Syntactic Expressivity of RNNs

The Unreasonable Syntactic Expressivity of RNNs

Once you assume this, we were very surprised to prove a formal version of the following: RNNs can turn their hidden states into bounded-capacity stacks so efficiently, they can generate a ...

On Oct 20, 2020
@mxlearn shared
[D] What industries/sectors do you think could still benefit from ML that don't already have much ML application? https://t.co/BPIO6BgpIX
Open