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Logical Induction
MIRI is releasing a paper introducing a new model of deductively limited reasoning: “Logical induction,” authored by Scott Garrabrant, Tsvi Benson-Tilsen,
Machine Learning in a Year
From being a total ml noob to start using it at work
WaveNet: A Generative Model for Raw Audio
This post presents WaveNet, a deep generative model of raw audio waveforms. We show that WaveNets are able to generate speech which mimics any human voice and which sounds more natural than the best existing Text-to-Speech systems, reducing the gap with human performance by over 50%.
How to Write a Spelling Corrector
I figured they, and others, could benefit from an explanation. The full details of an industrial-strength spell corrector are quite complex (you can read a little about it here or here ). But I figured that in the course of a transcontinental plane ride I could write and explain a toy spelling corrector that achieves…
Intel acquires Movidius
Unlock more with Intel Core Ultra processors. Experience superior AI performance, all-day battery life, and pro-level graphics for work and play.
Introduction to Mean Shift Algorithm
Its been quite some time since I wrote a Data Mining post . Today, I intend to post on Mean Shift – a really cool but not very well known algorithm. The basic idea is quite simple but the results a…
One Hundred Year Study on Artificial Intelligence: 2016 Report
Artificial Intelligence and Life in 2030
Speech Is 3x Faster Than Typing for English and Mandarin on Mobile Devices
With the ubiquity of mobile devices like smartphones, two new widely used methods have emerged: miniature touch screen keyboards and speech-based dictation. It is currently unknown how these two modern methods compare. We therefore evaluated the text entry performance of both methods in English and in Mandarin Chinese…
Infrastructure for Deep Learning
Deep learning is an empirical science, and the quality of a group’s infrastructure is a multiplier on progress. Fortunately, today’s open-source ecosystem makes it possible for anyone to build great deep learning infrastructure.
Facebook AI Research Team Open Source DeepMask and SharpMask
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Language contains human biases, and so will machines trained on language corpora
I have a new draft paper with Aylin Caliskan-Islam and Joanna Bryson titled Semantics derived automatically from language corpora necessarily contain human biases. We show empirically that natural language necessarily contains human biases, and the paradigm of training machine learning on language corpora means that…
Text Summarization with TensorFlow
Posted by Peter Liu and Xin Pan, Software Engineers, Google Brain TeamEvery day, people rely on a wide variety of sources to stay informed -- from ...
Some of the most important deep learning papers
Engineering at Forward | UCLA CS '19
Building a Real-Time Recommendation Engine
Learn how to build a real-time recommendation engine powered by social, similarity and cluster factors, all leveraging the power of advanced data science.
Computers do better than pathologists in predicting lung cancer type, severity
Automating the analysis of slides of lung cancer tissue samples increases the accuracy of tumor classification and patient prognoses, according to a new study.
Facebook AI Research Open Sources fastText
At Meta, research permeates everything we do. We believe the most interesting research questions are derived from real world problems.
Machine Learning Unconference
The latest information about the Unconference is now available at the Unconference wiki, which will be periodically updated with more information for attendees.
The Difference Between AI, Machine Learning, and Deep Learning
Explore the progression from AI training to AI inference, and how they both function.
Grokking Deep Learning
A machine learning craftsmanship blog.