• Two Decades of Recommender Systems at Amazon.com
  Amazon is well-known for personalization and recommendations, which help customers discover items they might otherwise not have found. In this update to our original paper, we discuss some of the changes as Amazon has grown...

• Watch 35 Years of the World’s Economy Evolving as a Living Organism
  Using data from the International Monetary Fund (IMF), we produced a dynamic Voronoi diagram showing the GDPs of the world’s largest countries from 1980 to 2015...

• A step-by-step guide to building a simple chess AI
  Let’s explore some basic concepts that will help us create a simple chess AI...

 
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• We Need Next Gen Algorithms To Harness The Power Of Today's AI Chips
  At the GTC technology conference this year, NVIDIA launched their latest and most advanced GPU called Volta. At the center of this chip is Tensor Core, an Artificial Intelligence accelerator that that is poised to usher in the next phase of AI applications. However, our current AI algorithms are not fully utilizing this accelerator, and for us to achieve another major breakthrough in AI, we need to change our software...

• Using TidyCensus and Leaflet to Map Census Data
  Recently, I have been following the development and release of Kyle Walker’s tidycensus package. I have been filled with amazement, delight, and well, perhaps another feeling...

• Learning to Reason with Neural Module Networks
  Suppose we’re building a household robot, and want it to be able to answer questions about its surroundings...

• Space, Time and Groceries
  [Instacart] Grocery delivery visualized in python with datashader...

• Nvidia Lets You Peer Inside the Black Box of Its Self-Driving AI
  In a step toward making AI more accountable, Nvidia has developed a neural network for autonomous driving that highlights what it’s focusing on...

• Attentive Explanations: Justifying Decisions and Pointing to the Evidence
  An interesting step towards explainable AI...

• Graph Auto-Encoders
  TensorFlow implementation of the (Variational) Graph Auto-Encoder model...

• cGAN-based Manga Colorization Using a Single Training Image
  The Japanese comic format known as Manga is popular all over the world. It is traditionally produced in black and white, and colorization is time consuming and costly. Automatic colorization methods generally rely on greyscale values, which are not present in manga. We propose a manga colorization method based on conditional Generative Adversarial Networks (cGAN). Unlike previous cGAN approaches that use many hundreds or thousands of training images, our method requires only a single colorized reference image for training, avoiding the need of a large dataset...

• Learning about the world through video
  At TwentyBN, we build AI systems that enable a human-like visual understanding of the world. Today, we are releasing two large-scale video datasets (256,591 labeled videos) to teach machines visual common sense...

• Python Plotting for Exploratory Data Analysis
  I made a page about Python plotting for exploratory data analysis. Please use and share it and offer feedback...

• Neural Network Libraries by Sony
  An open source software to make research, development and implementation of neural network more efficient...

• How to Create a Mind: The Secret of Human Thought Revealed
  "very interesting book that presents the pattern recognition theory of mind (PRTM), which describes the basic algorithm of the neocortex (the region of the brain responsible for perception, memory, and critical thinking)"......
  For a detailed list of books covering Data Science, Machine Learning, AI and associated programming languages check out our resources page...

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