Understand how to integrate AI with embedded platforms in resource-constrained environments, and make informed choices about hardware-software co-design, toolchains, and deployment architecture. This talk will delve into the evolving intersection of AI and embedded systems, with a focus on how this convergence is shaping the future of automotive technologies and smart manufacturing. As embedded platforms face increasing demands for intelligence, adaptability, and efficiency,
AI is emerging as a key enabler. The session will introduce the broader context, highlighting the challenges and opportunities of embedding AI into edge devices, especially in resource-constrained environments like electric vehicles and industrial automation systems.
Drawing on practical insights and high-level architectural patterns, the discussion will offer examples of real-world applications—such as predictive diagnostics and intelligent control systems—while also touching upon relevant toolchains and deployment strategies.
The talk will emphasize critical factors like scalability, reliability, and time-to-market advantages, offering attendees both a strategic perspective and actionable guidance. It will conclude with a Q&A segment to foster interactive engagement and explore audience-specific challenges."