AI weekly (48/2019)

My selection of news on AI/ML and Data Science

+++ Introducing TF-GAN: A lightweight GAN library for TensorFlow 2.0 +++ Global AI Survey: AI proves its worth, but few scale impact +++ AR-Net: A simple Auto-Regressive Neural Network for time-series +++ China’s billion-dollar ed-tech companies are planning to export their vision overseas +++ Deep Learning with PyTorch +++ **Corpus Wide Argument Mining - a Working Solution +++ Cost-benefit analysis in R +++ How to apply machine/deep learning to audio analysis, with comet.ml +++ Collection of Jupyter notebooks for quantitative finance +++ Create a streetmap of your favorite city with ggplot2 +++ Tutorial on Graph Neural Networks for Computer Vision and Beyond (in 3 parts) +++

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AI weekly (46/2019)

My selection of news on AI/ML and Data Science

+++ Machine vision sees behind walls and in darkness +++ Deep Learning deciphers historical Japanese texts +++ Microsoft’s Vision AI Developer Kit is now generally available +++ Intel unleashes three new chips for AI work, challenging Nvidia +++ Looker seeks to go beyond business intelligence +++ Nasdaq is testing a deep learning system to monitor trading +++ The Deep Learning Revolution and Its Implications for Computer Architecture and Chip Design +++ Gaussian Processes, not quite for dummies +++ Self-training with Noisy Student improves ImageNet classification +++ Extensive list of NLP-Models implemented in Tensorflow +++ 74 Summaries of Machine Learning and NLP Research +++

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