+++ Near-perfect point-goal navigation from 2.5 billion frames of experience +++ Google’s ML-fairness-gym: A Tool for Exploring Long-Term Impacts of Machine Learning Systems +++ Facebook launches PyTorch3D, a 3D deep learning library +++ White House reportedly aims to double AI research budget to $2B +++ Facebook has acquired Scape Technologies, a London-based computer vision startup +++ Avigilon’s Appearance Search Can Tell Schools Where Students Are And Where They’ve Been +++ Google, YouTube, Facebook, LinkedIn, Twitter demand Clearview stop scraping images for facial recognition +++ Quantifying Independently Reproducible Machine Learning +++ RGISTools: Downloading, Customizing, and Processing Time-Series of Remote Sensing Data in R +++ Ignite the Spark: Running Apache Spark on Kubernetes using PySpark +++
[Read More]AI weekly (04/2020)
My selection of news on AI/ML and Data Science
+++ Improved protein structure prediction using potentials from deep learning +++ Microsoft open sources BERT optimizations in ONNX runtime +++ Introducing the Hopsworks Feature Store – the Data Warehouse for Machine Learning +++ Why Google thinks we need to regulate AI +++ A Look Back on Baidu’s AI Innovations in 2019 +++ Kernel-Based Ensemble Learning in Python +++ An introduction to audio data analysis using Python +++ Spark in Docker in Kubernetes: A practical approach for scalable NLP +++
[Read More]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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