Artificial Intelligence #14

Hey, this is the fourteenth issue of the newsletter. I would like to thank you for being a dedicated subscriber and, before we start, I need your advice. I want to improve the newsletter and I look for the ideas of simple changes that do not require much time investment. Please share your ideas with me in the comments.

This issue contains a sponsored message from this week's sponsor Lambda Labs. As usually, the sponsored link is labeled with the [Sponsored] label.

• [Tool] PyBoy: an open-source Game Boy emulator written in Python that allows you to train your machine learning model on the game data
• A Chrome extension that adds a 3D photo effect to Instagram pages and based on the 3D-photo-inpainting running in Colab (paper, paper github)
• GANs in computer vision: an article review series on the most popular GAN papers (part 1, part 2)
• [Sponsored] Lambda GPU Cloud — Train Models Faster and Cheaper

Lambda Cloud deep learning instances let you train models 2x faster than a p2.8xlarge for $1.50/hr. Pre-installed with Ubuntu 18.04, TensorFlow, Keras, PyTorch, Caffe 2, CUDA, and cuDNN

• [Video] Efficient PyTorch debugging with PyTorch Lightning
• [Data] The Synthinel-1 dataset: a collection of high-resolution synthetic overhead imagery for building segmentation
• [Tool] Advbox: a toolbox to generate adversarial examples that fool neural networks (paper, github)
• Amazon: "Training a product discovery system on many languages at once improves performance in all of them" (blog article, paper)
• [Report] On machine learning interpretability
• [Book] Linear Algebra Done Right by Sheldon Axler (free to download through July)
• [Article] The economics of AI today
• [Video] Privacy-preserving AI - a talk by Andrew Trask
• [Tool] Spotifyr: R wrapper for pulling track audio features and other information from Spotify’s Web API in bulk

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If you want to become a sponsor of one of the upcoming issues, please contact the publisher: True Positive Inc.

Enjoy the weekend! — Andriy