Session
The case for Open Source in Autonomous AI Systems in the edge
In the modern era of artificial intelligence, the quest for creating truly autonomous systems has taken center stage. This talk will delve into the intricate realm of autonomous AI systems and the crucial role open-source plays in its advancement. Also we will make a case of why it is important to develop these capabilities on the edge and not rely solely on cloud for safety, efficiency and privacy concerns.
By leveraging open-source tools and frameworks, developers can unlock a plethora of opportunities in creating AI systems that can make decisions, learn from experiences, and evolve over time. This session will not only highlight the benefits of integrating open-source in the development of autonomous edge AI but also showcase real-world examples and case studies that demonstrate the transformative impact of open-source on AI innovation at the edge and beyond .

Tina Tsou
Kubernetes, High-Availability, Fault Tolerance, Cloud-Native Applications
Links
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