The Case for Open Source in Autonomous AI Systems at the Edge

Explore the critical role of open-source in advancing autonomous AI systems at the edge in this 33-minute conference talk. Delve into the importance of developing edge capabilities for safety, efficiency, and privacy concerns, rather than relying solely on cloud-based solutions. Discover how leveraging open-source tools and frameworks empowers developers to create AI systems capable of decision-making, learning from experiences, and evolving over time. Examine real-world examples and case studies that showcase the transformative impact of open-source on AI innovation at the edge and beyond, highlighting the numerous opportunities for creating truly autonomous systems in the modern era of artificial intelligence.

The Case for Open Source in Autonomous AI Systems in the Edge - Tina Tsou, Arm & Sujata Tibrewala