In the Last 48 hours there's been 37 influencers like NandoDF and Miles_Brundage, discussing topics such as #ClimateChangeAI, #ICML2019and #MachineLearning.



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Tackling Climate Change with Machine Learning

On Jun 14, 2019
@mat_kelcey shared
RT @hardmaru: Tackling Climate Change with Machine Learning A 54-page paper consisting of 12 articles written by @david_rolnick and many other collaborators on this important topic. https://t.co/7TnbqrXDij https://t.co/O1dHFirrLq
Open

Climate change is one of the greatest challenges facing humanity, and we, as machine learning experts, may wonder how we can help. Here we describe how machine learning can be a powerful tool in reducing greenhouse gas emissions and helping society adapt to a changing climate. ...

arxiv.org
On Jun 14, 2019
@mat_kelcey shared
RT @hardmaru: Tackling Climate Change with Machine Learning A 54-page paper consisting of 12 articles written by @david_rolnick and many other collaborators on this important topic. https://t.co/7TnbqrXDij https://t.co/O1dHFirrLq
Open

Tackling Climate Change with Machine Learning

Climate change is one of the greatest challenges facing humanity, and we, as machine learning experts, may wonder how we can help. Here we describe how machine learning can be a powerful ...


On Jun 14, 2019
@Miles_Brundage shared
RT @david_rolnick: @johnplattml @jack_kelly @AndrewYNg @ChadFrischmann @recursix @tegan_maharaj @priyald17 More info on the #icml2019 #ClimateChangeAI workshop: Full schedule: https://t.co/3kYMkvLOT4 Livestream: https://t.co/TOpNBsLzS0 Live questions: https://t.co/iWnmYTvtri Lunch will be provided! (thanks to @element_ai)
Open

The International Conference on Machine Learning (ICML) is the premier gathering of professionals

The International Conference on Machine Learning (ICML) is the premier gathering of professionals dedicated to the advancement of the branch of artificial intelligence known as machine ...

On Jun 14, 2019
@jackclarkSF shared
RT @apilipis: Excited to present a poster at the Climate Change + AI Workshop @icmlconf tomorrow on the "Grid Resilience & Intelligence Platform" project @SLAClab! Come by room 104A to learn how we're using ML to anticipate, absorb and recover f/ grid events! https://t.co/3V5q1lkOIT
Open
On Jun 14, 2019
@NandoDF shared
RT @quantombone: The Replica Dataset: A Digital Replica of Indoor Spaces. Some badass 3D reconstructions from FRL, FAIR, and other academic researchers. https://t.co/yQBJ2gmov5 #computervision #robotics #ar https://t.co/qGYevi8Y2W
Open

The Replica Dataset: A Digital Replica of Indoor Spaces

We introduce Replica, a dataset of 18 highly photo-realistic 3D indoor scene reconstructions at room and building scale. Each scene consists of a dense mesh, high-resolution ...

On Jun 14, 2019
@NandoDF shared
RT @svlevine: Can we use reinforcement learning together with search to solve temporally extended tasks? In Search on the Replay Buffer (w/ Ben Eysenbach and @rsalakhu), we use goal-conditioned policies to build a graph for search. Paper: https://t.co/qMEHyU06mU Colab: https://t.co/jqADqWeJEu
Open

Search on the Replay Buffer: Bridging Planning and Reinforcement Learning

The history of learning for control has been an exciting back and forth between two broad classes of algorithms: planning and reinforcement learning. Planning algorithms effectively reason ...

On Jun 14, 2019
@NandoDF shared
RT @DeepMindAI: In his recent @TEDxExeter talk the brilliant @ThoreG argues there is nothing more human than the pursuit of artificial intelligence. You can watch it for yourselves here: https://t.co/x1Q9mEG5zy
Open

The human pursuit of artificial intelligence | Thore Graepel | TEDxExeter

What is intelligence? And how can we create it in machines? Thore Graepel takes us inside the world of artificial intelligence (AI) and reveals its potential...

On Jun 15, 2019
@stanfordnlp shared
RT @altsoph: This year's video lectures for Stanford's "CS224N: Natural Language Processing with Deep Learning" are available on YouTube https://t.co/PJAfBtiM3G. (The course homepage is here https://t.co/u34cfkIqhl). #nlp #Stanford @stanfordnlp
Open

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 Jun 14, 2019
@DeepMindAI shared
And read more about our prior work on AI for climate change: https://t.co/0uUA4MN2gC
Open

Machine learning can boost the value of wind energy

Since last year, a joint DeepMind/Google project to apply machine learning to 700 MW of wind power in the central US has so far boosted the value of wind energy by ~20%. A neural net ...

On Jun 14, 2019
@hardmaru shared
RT @flyyufelix: A detailed account on the methods we tried to tackle overfitting and improve robustness for Donkey Car at Pixmoving Hackathon https://t.co/dz72Fgcth2 @FeiCheung1 @marcoleewow @diyrobocars @thepixmoving #DonkeyCar https://t.co/e7wXktH0Ie
Open

Techniques to Tackle Overfitting and Achieve Robustness for Donkey Car Neural Network Self-Driving Agent

      Application of Style Transfer as an data augmentation technique to improve model’s robustness.

On Jun 13, 2019
@ylecun shared
Computer vision and global challenges: New research and applications https://t.co/SdCOP9H6LS
Open

Computer vision and global challenges: New research and applications

Rapid recent progress in the field of computer vision (CV) has had a significant real-world impact, opening possibilities in domains…

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On Jun 15, 2019
@NandoDF shared
RT @adrian_weller: We’re hiring for safe and ethical AI at the Turing Institute. Deadline 25th June. Also opportunities for more senior and junior folks. If you’re at ICML and interested, please contact me. https://t.co/kU6IaFVSRa
Open

Safe and Ethical AI Research Fellows

The Alan Turing Institute is looking to hire up to three full-time Research Fellows to work on one or more themes of Safe and Ethical AI: Fairne

On Jun 14, 2019
@NandoDF shared
RT @apilipis: [email protected] calls for institutional interventions, increased funding, measurement, norms, and comprehensive AI education as pathways to address the national security challenges of AI, manipulated media, and "deepfakes": https://t.co/o9HicB6R7i https://t.co/KNZOamqQJ3
Open

Open Hearing on Deepfakes and Artificial Intelligence

On Thursday, June 13, 2019 at 9:00 am, the House Permanent Select Committee on Intelligence convened an open hearing on the national security challenges of a...

On Jun 15, 2019
@karpathy shared
RT @shancarter: A new way of looking inside vision neural networks, activation atlases: https://t.co/XDesfSx4LO https://t.co/ucQhaBHhpg
Open

Exploring Neural Networks with Activation Atlases

By using feature inversion to visualize millions of activations from an image classification network, we create an explorable activation atlas of features the network has learned and what ...

On Jun 15, 2019
@stanfordnlp shared
RT @iatitov: @wzuidema @clark_kev @ukhndlwl @omerlevy @chrmanning @ACL2019_Italy There are interesting similarities to what we found for NMT Transformers (Lena Voita's ACL paper: https://t.co/965F5MKnMR): many heads captured syntax and these heads were the most important ones. It would interesting to contrast Transformer head funcs with different objectives. https://t.co/RwIUbdrrtM
Open

Click here to read the article

Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be Pruned Elena Voita Yandex, Russia University of Amsterdam, Netherlands [email protected] ...

On Jun 14, 2019
@petewarden shared
We've just launched the Visual Wakeword Dataset, designed to test machine vision on microcontrollers in less than 250kb of memory: https://t.co/76vO7gfI4t Hear more at @achowdhery's CVPR talk on Monday!
Open

Visual Wake Words Dataset

The emergence of Internet of Things (IoT) applications requires intelligence on the edge. Microcontrollers provide a low-cost compute platform to deploy intelligent IoT applications using ...

On Jun 14, 2019
@jeremyphoward shared
RT @ledell: Delighted that @math_rachel from @fastdotai is giving a keynote at the #ICML2019 AutoML workshop! Check out her 3-part blog series about #AutoML: https://t.co/hhKoPE5Avz https://t.co/qwfcEUeVix
Open

What do machine learning practitioners actually do?

It will address what it is that machine learning practitioners do, with Part 2 explaining AutoML and neural architecture search (which several high profile figures have suggested will be ...

On Jun 15, 2019
@kastnerkyle shared
RT @francoisfleuret: Discussion with Ronan Collober reminded me that (max, +) is a semi-ring, and made me realize that the same is true for (softmax, +) where softmax(a, b) = log(exp(a) + exp(b)) All this coolness at the heart of his paper https://t.co/pVWsVhlf3G
Open

A Fully Differentiable Beam Search Decoder

We introduce a new beam search decoder that is fully differentiable, making it possible to optimize at training time through the inference procedure. Our decoder allows us to combine models ...

On Jun 13, 2019
@goodfellow_ian shared
RT @liu_mingyu: The #GauGAN beta version is now available to everyone as a web service via https://t.co/B2Ub9mI40y #NVIDIA AI Playground A short illustration video is available in https://t.co/9dutBqut1A May everybody have fun with the app. #GAN, #SPADE https://t.co/mS3OLsz36q
Open

NVIDIA AI PLAYGROUND

Interact with live demos based on NVIDIA Research, with links to whitepapers and GitHub source code

On Jun 14, 2019
@NandoDF shared
RT @seb_ruder: We have some amazing speakers at the first European NLP Submit (EurNLP) including @NandoDF @natschluter @dirk_hovy @RicoSennrich and many more. If you'd like to attend, don't forget to submit your abstract. The submission deadline is on July 8. https://t.co/jVnjXmBcKe https://t.co/qi3iq7IZ5I
Open

Call for Abstracts

We invite submissions in areas of Natural Language Processing (NLP) related, but not limited to, the following topics: multilingual NLP (translation, cross-lingual representations) building ...

On Jun 14, 2019
@deliprao shared
RT @JSat15: The U.S. Army funded a @DukeU study that videotaped thousands of students walking to class. It disobeyed the IRB, and the data was put on a public website to help researchers improve biometric surveillance technology. @DukeChronicle https://t.co/M5Cum2s8Nw
Open

A Duke study recorded thousands of students’ faces. Now they’re being used all over the world

Researchers employed the surveillance footage data to test and improve facial recognition technology. The data has been linked to the Chinese government’s surveillance of ethnic minorities.

On Jun 15, 2019
@hardmaru shared
A public post viewed over 5,000 times that offends the government would lead to three years in prison. Private posts are not safe either. People are regularly arrested for messages they send in “private” group chats. https://t.co/c3z3GNjhGF
Open

WeChat Is Watching

It’s 9 a.m. on a typical morning in Chengdu and I’m awakened by the sound of my phone alarm. The phone is in my study, connected…