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How The New York Times Uses Software to Recognize Members of Congress
Even if you’ve covered Congress for The New York Times for a decade, it can be hard to recognize which member you’ve just spoken with…
New
The latest blog posts to take off on Hacker News. 6,335 posts.
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Mozilla Announces $225,000 for Art and Advocacy Exploring A.I.
Mozilla’s latest awards will support people and projects that examine the effects of AI on society At Mozilla, one way we support a healthy internet i
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MLflow: An Open Source Machine Learning Platform
MLflow is an open-source platform to manage the ML lifecycle, offering tools for data preparation, model training, and deployment at scale.
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Predicting Stock Performance with Natural Language Deep Learning
We developed an NLP deep learning model using a one-dimensional convolutional neural network to predict future stock market performance of companies using Azure ML Workbench and Keras with open source for you to replicate.
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AI winter is well on its way
Deep learning has been at the forefront of the so called AI revolution for quite a few years now, and many people had believed that it is the silver bullet that will take us to
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Empiricism and the limits of gradient descent
This post is actually about artificial intelligence, and argues a position that many AI researchers will disagree with. Specifically, it arg...
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Dissecting Reinforcement Learning
Explaining the basic ideas behind reinforcement learning. In particular, Markov Decision Process, Bellman equation, Value iteration and Policy Iteration algorithms, policy iteration through linear algebra methods. It includes full working code written in Python.
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Gym Retro
Stay up to speed on the rapid advancement of AI technology and the benefits it offers to humanity.
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ML Beyond Curve Fitting: An Intro to Causal Inference and Do-Calculus
Since writing this post back in 2018, I have extended this to a 4-part series on causal inference: * ➡️️ Part 1: Intro to causal inference and do-calculus [https://www.inference.vc/untitled] * Part 2: Illustrating Interventions with a Toy Example…
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3D Face Reconstruction with Position Map Regression Networks
Position Map Regression Networks (PRN) is a method to jointly regress dense alignment and 3D face shape in an end-to-end manner. In this article, I’ll provide a short explanation and discuss its applications in computer vision. When I was a… Continue reading 3D Face Reconstruction with Position Map Regression Networks
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Letting neural networks be weird
Machine learning algorithms are not like other computer programs. In the usual sort of programming, a human programmer tells the computer exactly what to do. In machine learning, the human programmer merely gives the algorithm the problem to be solved, and through trial-and-error the algorithm has to figure out how to…
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Growing up with AI
By Stefania Druga Graduate Student, Personal Robots Group LEGO Papert Fellow 2018
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A Deep Dive into Monte Carlo Tree Search
(This was originally a sponsor talk given at PyCon 2018. Unfortunately there is no video.)
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Counting Bees on a Raspberry Pi with a ConvNet
the first thing i thought when we setup our bee hive was "i wonder how you could count the number of bees coming and going?"
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Federated Learning: Collaborative Machine Learning without Centralized Training
Posted by Brendan McMahan and Daniel Ramage, Research ScientistsStandard machine learning approaches require centralizing the training data on one ...
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AI and Compute
Stay up to speed on the rapid advancement of AI technology and the benefits it offers to humanity.
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Prefrontal cortex as a meta-reinforcement learning system
Recently, AI systems have mastered a range of video-games such as Atari classics Breakout and Pong. But as impressive as this performance is, AI still relies on the equivalent of thousands of hours of gameplay to reach and surpass the performance of human video game players. In contrast, we can usually grasp the…
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Google Duplex: An AI System for Accomplishing Real World Tasks Over the Phone
Posted by Yaniv Leviathan, Principal Engineer and Yossi Matias, Vice President, Engineering, Google A long-standing goal of human-computer intera...
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Write Emails Faster with Smart Compose in Gmail
Powered by artificial intelligence, Smart Compose suggests complete sentences in your emails so that you can draft emails from scratch, faster.
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Reinforcement Learning – Bandit Problems
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Extracting Structured Data from Recipes Using Conditional Random Fields (2015)
Erica Greene describes the tool that she built to extract structured data from recipes.