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Topics /
AI & Machine Learning
The most popular blog posts about ai & machine learning on Hacker News. 292 posts.
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Google Cloud Text-To-Speech Powered by DeepMind WaveNet Technology
Many Google products (e.g., the Google Assistant, Search, Maps) come with built-in high-quality text-to-speech synthesis that produces natural sounding speech. Developers have been telling us they’d like to add text-to-speech to their own applications, so today we’re bringing this technology to Google Cloud Platform…
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Keras vs PyTorch
Keras and PyTorch are both excellent choices for your first deep learning framework. Learn how they differ and which one will suit your needs better.
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YouTube Face is clickbait, attaining human form
On YouTube, there’s a long tail of content that pretty much guarantees the inclusion of every potential human interest. There are skate videos, makeup tutorials, and backyard surgical removals of blackheads. And yet the presentation of a lot of this content — especially when it’s trying to attract a large audience …
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PhysX SDK 4.0, an Open-Source Physics Engine
The engine has been upgraded to provide industrial grade simulation quality at game simulation performance. In addition, the PhysX SDK has gone open source! It is available under the simple 3-Clause…
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Measuring the “Filter Bubble”: How Google is influencing what you click
Does Google show you different search results based on your personal info, even when signed out and in so-called "incognito" mode? We ran a study to find out.
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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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How to visualize decision trees
Decision trees are the fundamental building block of gradient boosting machines and Random Forests(tm), probably the two most popular machine learning models for structured data. Visualizing decision trees is a tremendous aid when learning how these models work and when interpreting models. Unfortunately, current…
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Generative Art Finds Its Prodigy
In our last article " Why Love Generative Art ?" we had a blast putting the genre into the context of modern art history. In this article we interview contemporary generative art prodigy (my words, not his) Manolo Gamboa Naon from Argentina. Manolo's work feels like it is the re
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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…
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Preparing for Malicious Uses of AI
Stay up to speed on the rapid advancement of AI technology and the benefits it offers to humanity.
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Attacks against machine learning – an overview
This blog post surveys the attacks techniques that target AI (Artificial Intelligence) systems and how to protect against them.
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Waymo One: The next step on our self-driving journey
Over time, we hope to make Waymo One available to even more members of the public as we add vehicles and drive in more places.
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Algorithm recovers speech from a potato-chip bag filmed through glass (2014)
Algorithm recovers speech from the vibrations of a potato-chip bag filmed through soundproof glass.
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This AI is bad at drawing but will try anyways
There was a paper recently where a research team trained a machine learning algorithm (a GAN they called AttnGAN) to generate pictures based on written descriptions. It’s like Visual Chatbot in reverse. When it was just trained to generate pictures of birds, it did pretty well, actually.
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Ways to think about machine learning
Everyone has heard of machine learning now, and every big company is working on projects around ‘AI’. We know this is a Next Big Thing. But we don’t yet have a settled sense of quite what machine learning means - what it will mean for tech companies or for companies in the broader economy, how to
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Growing from 0 to 4M users on our fashion app with vertical machine learning
My name is Gabi (my bio), and I’m the CEO and co-founder of Chicisimo. We launched three years ago, our goal was to offer automated outfit…
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Probabilistic Programming and Bayesian Methods for Hackers (2013)
Bayesian Methods for Hackers : An intro to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view.
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Using a Keras Long Short-Term Memory Model to Predict Stock Prices
Editor’s note: This tutorial illustrates how to get started forecasting time series with LSTM models. Stock market data is a great choice for this because it’s quite regular and widely available to everyone. Please don’t take this as financial advice… Continue reading Using a Keras Long Short-Term Memory (LSTM) Model…
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Introduction to Decision Tree Learning
From Kaggle to classrooms, one of the first lessons in machine learning involves decision trees. The reason for the focus on decision trees is that they aren’t very mathematics heavy compared to other ML approaches, and at the same time,… Continue reading Introduction to Decision Tree Learning