Brussels / 3 & 4 February 2024


A Principled Component Analysis of Open Source Artificial Intelligence

Artificial intelligence is more accessible to developers, designers, and users than ever before. Machine learning functionality seamlessly woven into products and platforms makes our lives a little bit easier. A wealth of APIs, libraries, and tools make it trivial to tap into sophisticated models and methodologies that give our applications an intelligent edge.

When thinking (or "thinking") about open source and artificial intelligence, we see some significant challenges in retaining the open source ethos that has made open source software such a force for technological advancement. Join us in a Principled Component Analysis of artificial intelligence as we explore some key issues facing us in this new frontier of open source.


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