Princeton Team using Deep Learning to develop Fusion Energy
https://goo.gl/KGefMB @ArtificialIntelligenceArticles

Page Proportions as Musical Intervals

New Codepen by Tero Parviainen : https://codepen.io/teropa/full/xaqzLj/

Graph Attention Networks

"We present graph attention networks (GATs), novel neural network architectures that operate on graph-structured data, leveraging masked self-attentional layers to address the shortcomings of prior methods based on graph convolutions or their approximations. By stacking layers in which nodes are able to attend over their neighborhoods' features, we enable (implicitly) specifying different weights to different nodes in a neighborhood, without requiring any kind of costly matrix operation (such as inversion) or depending on knowing the graph structure upfront. (...)"

Paper by Petar Veličković, Guillem Cucurull, Arantxa Casanova, Adriana Romero, Pietro Liò, Yoshua Bengio : https://arxiv.org/abs/1710.10903

Source Code : https://github.com/PetarV-/GAT

Website : https://mila.quebec/en/publication/graph-attention-networks/

Sketch2Code : Turn your whiteboard sketches to working code in seconds
https://azure.microsoft.com/en-us/blog/turn-your-whiteboard-sketches-to-working-code-in-seconds-with-sk

The 50 Best Free Datasets for Machine Learning
https://gengo.ai/articles/the-50-best-free-datasets-for-machine-learning/ @ArtificialIntelligenceArticles

Five books every data scientist should read that are not about data science
https://towardsdatascience.com/five-books-every-data-scientist-should-read-that-are-not-about-data-science-f7335fb1f84f

List of free resources to learn Natural Language Processing

https://blog.paralleldots.com/data-science/nlp/free-natural-language-processing-resources/

Lessons from Optics, The Other Deep Learning
https://www.argmin.net/2018/01/25/optics/

Application of Self-Play Reinforcement Learning to a Four-Player Game of Imperfect Information

paper: https://arxiv.org/abs/1808.10442 @ArtificialIntelligenceArticles

Deep Learning and the Game of Go

GitHub : https://github.com/maxpumperla/deep_learning_and_the_game_of_go @ArtificialIntelligenceArticles

RNN to generating beats

Deep Drum using #NeuralNetworks by Gogul Ilango : https://gogul09.github.io/software/deep-drum

Google Dataset Search

https://toolbox.google.com/datasetsearch @ArtificialIntelligenceArticles

Learning where you are looking at (in the browser)

By Max Schumacher : https://cpury.github.io/learning-where-you-are-looking-at/ @ArtificialIntelligenceArticles

https://goo.gl/PXZVbE

DeepBayes Summer School 2018


SLIDES, Bayesian Deep Learning

https://deepbayes.ru/#materials

Seminars DeepBayes Summer School Bayesian Deep Learning 2018

https://github.com/bayesgroup/deepbayes-2018
DeepBayes Summer School 2018

Presentations Bayesian Deep Learning
https://drive.google.com/drive/folders/1rJ-HTN3sNTvhJXPoXEEhfGlZWtjNY26C

Vdeos Bayesian Deep Learning

https://www.youtube.com/playlist?list=PLe5rNUydzV9Q01vWCP9BV7NhJG3j7mz62

@ArtificialIntelligenceArticles

Introducing the Inclusive Images Competition https://ai.googleblog.com/2018/09/introducing-inclusive-images-competition.html

https://goo.gl/zFkc52
Computer science researchers with the highest rate of recent citations


(Google Scholar) among those with the largest h-index Taken among the 100 computer science researchers with the highest Google Scholar h-index(from the list maintained at https://www.guide2research.com/scientists/). Quantities extracted September 1st, 2018.


Yoshua Bengio is now the computer scientist with the most recent citations per day (over the last year), with the top-3 being the deep learning trio, Bengio, Hinton and LeCun, in that order.


Source : https://www.iro.umontreal.ca/~bengioy/citation-rate-CS-1sept2018.html

https://t.iss.one/ArtificialIntelligenceArticles

@ArtificialIntelligenceArticles

A recipe to save lives: Geoffrey Hinton and David Naylor call on physicians to embrace AI
https://goo.gl/rn3usp @ArtificialIntelligenceArticles

Machine Learning Top 10 Articles for the Past Month (v.Sep 2018)
https://goo.gl/eaQU5Y @ArtificialIntelligenceArticles

ML-Agents Toolkit v0.5, new resources for AI researchers available now


https://blogs.unity3d.com/2018/09/11/ml-agents-toolkit-v0-5-new-resources-for-ai-researchers-available-now/

All keynotes and AGI conference talks from the Human-Level AI Conference

Enjoy them here: https://slideslive.com/humanlevel-ai-2018