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 (47/2019)

My selection of news on AI/ML and Data Science

+++ AI will speed up the hunt for Nazca Lines in southern Peru +++ Increasing transparency with Google Cloud Explainable AI +++ RecSim: Configurable Simulation Platform for Recommender Systems +++ Safety Gym: Reinforcement Learning Agents That Respect Safety Constraints +++ Sony Accounces the Establishment of Sony AI +++ Complete Data Science Project Template with Mlflow for Non-Dummies +++ Summer school on Deep Bayesian methods +++ How to apply machine learning and deep learning methods to audio analysis +++

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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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AI weekly (45/2019)

My selection of news on AI/ML and Data Science

+++ Experience a live debate between the first AI system to debate humans on complex topics, Project Debater, and a top human debater +++ How Google, Microsoft, and Big Tech Are Automating the Climate Crisis +++ How to train artificial intelligence that won’t destroy the environment +++ Deep learning has a size problem +++ Quantifying the Carbon Emissions of Machine Learning +++

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AI weekly (44/2019)

My selection of news on AI/ML and Data Science

+++ AI is helping scholars restore ancient Greek texts on stone tablets +++ Open Sourcing Amundsen: A Data Discovery And Metadata Platform +++ AI May Not Kill Your Job—Just Change It +++ A Survey of Deep Learning Techniques for Autonomous Driving +++ The State of Modeling, Simulation, and Data Utilization within Industry. An Autonomous Vehicles Perspective+++ Microsoft AI School and Microsoft Learn +++ Kepler.GL & Jupyter Notebooks: Geospatial Data Visualization with Uber’s opensource Kepler.GL +++

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AI weekly (43/2019)

My selection of news on AI/ML and Data Science

+++ Quantum Supremacy Using a Programmable Superconducting Processor +++ Understanding searches better than ever before +++ The State of Machine Learning Frameworks in 2019 +++ Detectron2: A PyTorch-based modular object detection library +++ Welcome to Streamlit +++ bamlss: A Lego Toolbox for Flexible Bayesian Regression (and Beyond) +++ Deep Q-Network for Angry Birds +++ Machines Beat Humans on a Reading Test. But Do They Understand? +++ Kepler.GL & Jupyter Notebooks: Geospatial Data Visualization with Uber’s opensource Kepler.GL +++ SQLZoo – A Great Interactive SQL Tutorial +++ An overview of time series forecasting models +++ Python Data Preprocessing Using Pandas DataFrame, Spark DataFrame, and Koalas DataFrame +++

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