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The most popular blog posts about ai & machine learning on Hacker News. 326 posts.
You can choose among multiple artificial intelligence (AI) frameworks to develop AI algorithms. You also have a choice of a wide range of hardware to train and deploy AI models. The diversity of frameworks and hardware is crucial to maintaining the health of the AI ecosystem. This diversity, however, also introduces…
Sketch-RNN, a generative model for vector drawings, is now available in Magenta. For an overview of the model, see the Google Research blog fromApril 2017, ...
We’re adding the ability for multiple people to connect their account to one Google Home. So now with the Google Assistant you can hear your commute time, your daily bri…
IBM Watson Speech to Text converts audio into accurate text, enabling real-time transcription, captions and insights with scalable AI APIs.
Synthesizing adversarial examples for neural networks is surprisingly easy.
This past summer, four students at a coding bootcamp in Los Angeles began experimenting with WebAssembly. The result, after six weeks of exploration, was WebSight: a real-time face detection demo ...
Assumed Knowledge: Convolutional Neural Networks, Variational Autoencoders Disclaimer: This article does not cover the mathematics behind Capsule Networks, but rather the intuition and motivation behind them. What are Capsule Networks and why do they exist? The Capsule Network is a new type of neural network…
A collection of thoughts, ideas and unsolicited opinion from Made by Many: articles, reflections, talks and interviews from the people doing the work.
Or, for fucks sake, DL people, leave language alone and stop saying you solve it.
Stay up to speed on the rapid advancement of AI technology and the benefits it offers to humanity.
In this post I will walk you through how to teach a computer to master a simple video game using the q-learning reinforcement learning algorithm. We will implement the algorithm from scratch in Ruby without the use of external gems. To enable us to illustrate the inner workings of the algorithm we will be teaching […]
In honor of today being April 20th, I thought it would be interesting to do some NLP on Reddit comments about marijuana (shout out to…
The Word2Vec model has become a standard method for representing words as dense vectors. This is typically done as a preprocessing step, after which the learned vectors are fed into a discriminative model (typically an RNN) to generate predictions such as movie review sentiment, do machine translation, or even…
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This paper surveys the design approaches used in distributed machine learning (ML) platforms and proposes future research directions. This ...
This is a reply to Francois Chollet, the inventor of the Keras wrapper for the Tensorflow and Theano deep learning systems, on his essay "The impossibility of
Handwriting recognition is more important than ever given the prevalence of mobile phones, tablets, and wearable gear like smartwatches. The…
Mauricio Armellini and Tim Pike. This post highlights some of the possible economic implications of the so-called “Fourth Industrial Revolution” — whereby the use of new technologies and artificial…
In 1965, I. J. Good described for the first time the notion of “intelligence explosion”, as it relates to artificial intelligence (AI):
