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Why Technology Favors Tyranny

"Artificial intelligence could erase many practical advantages of democracy, and erode the ideals of liberty and equality. It will further concentrate power among a small elite if we don’t take steps to stop it."

By Yuval Noah Harari :

https://www.theatlantic.com/magazine/archive/2018/10/yuval-noah-harari-technology-tyranny/568330/

https://t.iss.one/ArtificialIntelligenceArticles

Kaggle winner explains how to combine categorical, numerical, image and text features into a single NN that gets you into top 10 without stacking.


Online ad demand prediction kaggle competition 1st place summary:


https://www.kaggle.com/c/avito-demand-prediction/discussion/59880

@ArtificialIntelligenceArticles

250 awesome short lectures on robotics

The Queensland University of Technology robot academy : https://robotacademy.net.au/ @ArtificialIntelligenceArticles

The First World-Class Overview of AI for the General Public

Curated Open-Source Codes, Implementations and Science : https://goo.gl/AZ3DJy @ArtificialIntelligenceArticles

What makes TPUs fine-tuned for deep learning?

https://cloud.google.com/blog/products/ai-machine-learning/what-makes-tpus-fine-tuned-for-deep-learning @ArtificialIntelligenceArticles

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