News & trends in the Last 48 hours
News & trends in the Last 48 hours
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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stanfordnlp 
MSFTResearch 
DeepMind 
WIREDScience 
hardmaru 
jackclarkSF 
mxlearn 
shakir_za 
AlisonBLowndes Top sources
News
Too many AI researchers think real-world problems are not relevant
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
OpenAny 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 ...
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
OpenToo 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 ...
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
OpenAI 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!
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 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, ...
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
OpenCompanies 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.
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
OpenImport 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 …
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.
RT @OleWinther1: 3 year postdoc in machine learning methods development for multi-scale modelling of battery materials https://t.co/iGwczWxskD
OpenPostdoc 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 ...
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
OpenCoherent 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 ...
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!
OpenTensorFlow 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 ...
@zacharylipton not ambitious enough! my goal is to replace it with a single sentence: "see https://t.co/um2iovb7DF"
OpenAbout
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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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
OpenClick 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, ...
RT @slashML: Interpretable Machine Learning: A Brief History, State-of-the-Art and Challenges https://t.co/VNbv9NwVkm
Open[R] Interpretable Machine Learning: A Brief History, State-of-the-Art and Challenges
![[R] Interpretable Machine Learning: A Brief History, State-of-the-Art and Challenges](https://preview.redd.it/6svmck34fnt51.jpg?width=640&height=320&crop=smart&auto=webp&s=61dc5286ca226bdd4c6b76f30e1dee03048ffddf)
31 votes and 2 comments so far on Reddit
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
OpenFellowship 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 ...
RT @AmandaAskell: The OpenAI applied team is looking for a bias and fairness engineer! https://t.co/WiUmi9co2f
OpenBias 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 ...
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
OpenFermiNet: 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 ...
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
OpenFermiNet: Fermionic Neural Networks
An implementation of the Fermionic Neural Network for ab-initio electronic structure calculations - deepmind/ferminet
Relevant paper here:
Measurement in AI Policy: Opportunities and Challenges
https://t.co/zBsbJtSDjH
OpenMeasurement 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 ...
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
OpenTrailblazing 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 ...
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
OpenThe 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 ...
[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[D] What industries/sectors do you think could still benefit from ML that don't already have much ML application?
6 votes and 12 comments so far on Reddit