Turns out, there are huge differences between the Apples, Googles, and Ubers of the world. So get a behind-the-scenes tour of 18 tech employers, including:-
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Computing is the bedrock technology that fuels the homes of billions of people around the world. It offers endless possibilities for producing, sharing, and saving information. In this article, a list originally maintained by Thomas Watson, recompiled and cleaned, takes a look at some of the most important innovations in computing history. It covers information from as early as 1953, right down to 2016, in various forms of folklores, recordings, documentaries, interviews, lectures and movies.
Over the last several years, a new area of research called deep learning has taken the machine learning community by storm, delivering very promising results in all areas of speech and image recognition. However, one missing link is the lack of an accessible and easy-to-use open-source deep learning library for the music and/or audio research community. In this post we will introduce you to scientific articles, thesis and reports that use deep learning approaches applied to music. The documents are generally in PDF formats, sorted by years and paired with source codes if they’re available.
This collection includes postings, articles, talks, actionable tools, conferences, social media advocates, and other resources on diversity, specifically diversity in technology. The list’s goal is to provide quick access to diversity information to tech companies and communities that want to do more in their everyday actions to make the tech industry a more inclusive place, as well as to individuals who want to learn more about topics related to diversity and equity in the tech field.