This webinar focuses on using AI to create virtual sensors for estimating hard-to-measure signals, like battery state of charge. It demonstrates integrating AI models into system-level design and validating them against performance and deployment constraints. The workflow covers designing, verifying, compressing, and deploying these AI sensors to embedded processors within a unified environment. AI
IMPACT Enables more efficient design and deployment of AI-powered systems, particularly for embedded applications like battery management.
RANK_REASON The content describes a webinar demonstrating a specific application of AI in system design, rather than a novel model release or fundamental research.
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