If you look at the set of new innovative data systems or computational layers: most are open source, but virtually all that succeed have some backing company willing to fund development.

Or you could insert the logos of any number of companies (Red Hat, Intel, Novell, etc.). While we talk about organic open source, the reality is that even "organic" communities like Apache are ...

If “open source” was the rallying cry of the past two decades, “open data” may be the call to arms for the next two. Or it would be, if only we could figure out what it means.

Aptiv has released a comprehensive set of automated driving training data including camera, radar and lidar signals that has been fully annotated and labeled.

Let’s take a closer look at what open-source intelligence is, how it works, and how you can apply this type of intelligence to your business operations most effectively. TABLE OF CONTENTS Toggle ...

InfoWorld’s 2023 Bossie Awards recognize the year’s leading open source tools for software development, data management, analytics, AI, and machine learning.

In order to be labeled open source under the new definition, an AI system—including its component code, weights, and training data—must be made freely available in such a way that anyone can ...

The current Open Source AI Definition draft sits at version 0.0.8, constituting three core parts: the “preamble,” which lays out the document’s remit; the Open Source AI Definition itself ...

OSI has long set the industry standard for what constitutes open-source software, but AI systems include elements that aren’t covered by conventional licenses, like model training data.

Microsoft AI researchers accidentally exposed tens of terabytes of sensitive data, including private keys and passwords, while publishing a storage bucket of open source training data on GitHub.