Monday, March 30, 2020
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AWS’ CodeGuru uses machine learning to automate code reviews

AWS’ CodeGuru uses machine learning to automate code reviews

AWS today announced CodeGuru, a new machine learning-based service that automates code reviews based on the data the company has gathered from doing code reviews internally. Developers write the code and simply add CodeGuru to the pull requests. It supports GitHub and CodeCommit, for the time being. The CodeGuru uses its knowledge of reviews from…
Machine Learning on Encrypted data without Decrypting it

Machine Learning on Encrypted data without Decrypting it

Note: This post discusses cutting edge cryptographic techniques. It is intended to give a view into research at Julia Computing. Do not use any examples in this blog post for production applications. Always consult a professional cryptographer before using cryptography. TL;DR: click here to go directly to the package that implements the magic and here…
Facebook machine learning aims to modify faces, hands, and… outfits

Facebook machine learning aims to modify faces, hands, and… outfits

The latest research out of Facebook sets machine learning models to tasks that, to us, seem rather ordinary — but for a computer are still monstrously difficult. These projects aim to anonymize faces, improvise hand movements, and — perhaps hardest of all — give credible fashion advice. The research here was presented recently at the…
Naïve Bayes for Machine Learning – From Zero to Hero

Naïve Bayes for Machine Learning – From Zero to Hero

Before I dive into the topic, let us ask a question – what is machine learning all about and why has it suddenly become a buzzword? Machine learning fundamentally is the “art of prediction”. It is all about predicting the future, based on the past. The reason it is a buzzword is actually not about…
A Machine Learning Guide to HTM (Hierarchical Temporal Memory)

A Machine Learning Guide to HTM (Hierarchical Temporal Memory)

My name is Vincenzo Lomonaco and I’m a Postdoctoral Researcher at the University of Bologna where, in early 2019, I obtained my PhD in computer science working on “Continual Learning with Deep Architectures” in the effort of making current AI systems more autonomous and adaptive. Personally, I’ve always been fascinated and intrigued by the research…

Machine and Deep Learning with OCaml Natively

NOTE: many places need fixes, not finished yet. I will cover the neural network module in this chapter. My original purpose of introducing neural network module into Owl is two-fold: Test the expressiveness of Owl. Neural network is a useful and complex tool for building modern analytical applications so I chose it. To validate my…

Mathematics for Machine Learning

Companion webpage to the book "Mathematics for Machine Learning". Copyright 2019 by Marc Peter Deisenroth, A Aldo Faisal, and Cheng Soon Ong. To be published by Cambridge University Press. View the Project on GitHub View On GitHub Please link to this site using https://mml-book.com. Twitter: @mpd37, @AnalogAldo, @ChengSoonOng. We wrote a book on Mathematics for…
The State of Machine Learning Frameworks in 2019

The State of Machine Learning Frameworks in 2019

Since deep learning regained prominence in 2012, many machine learning frameworks have clamored to become the new favorite among researchers and industry practitioners. From the early academic outputs Caffe and Theano to the massive industry-backed PyTorch and TensorFlow, this deluge of options makes it difficult to keep track of what the most popular frameworks actually…
Can a Machine Learn to Write for The New Yorker?

Can a Machine Learn to Write for The New Yorker?

At the end of every section in this article, you can read the text that an artificial intelligence predicted would come next. I glanced down at my left thumb, still resting on the Tab key. What have I done? Had my computer become my co-writer? That’s one small step forward for artificial intelligence, but was…

New Chips for Machine Intelligence

This note summarises details of some of the new silicon chips for machine intelligence. Its aim is to distil the most important implementation and architectural details (at least that are currently available), to highlight the main differences between them. I’m focusing on chips designed for training since they represent the frontier in performance and capability.…

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Amazon’s ‘Fleabag’ wins four Emmys, including best comedy series

Amazon must be pretty happy after tonight’s primetime Emmy Awards, where its shows “Fleabag” and “The Marvelous Mrs. Maisel” dominated the comedy categories. “Fleabag” did particularly well, winning the big award for Comedy Series, as well as additional awards for Lead Actress in a Comedy Series (Phoebe Waller-Bridge, pictured above), Writing for a Comedy Series…
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