AI Model Verification
Lucas discusses the challenges of estimating battery state of charge in devices like smartphones and electric vehicles. He emphasizes the importance of capturing diverse data for training AI models and ensuring that these models meet safety standards, particularly in critical systems. The conversation highlights the need for verification processes to guarantee that the emergent properties of neural networks do not compromise system performance.In this clip
From this podcast
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
ML Models for Safety-Critical Systems with Lucas García - 705
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