From Engineering to AI
Francois shares his journey from mechanical engineering at Lockheed Martin to pursuing advanced studies at Stanford, driven by a desire to escape bureaucracy. His expertise in Kalman filter theory seamlessly transitioned into groundbreaking research in deep learning, particularly as the technology began to revolutionize the field. The excitement surrounding deep learning's potential was palpable, marking a pivotal moment in his career.In this clip
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The AI Podcast
Focal Systems Brings AI to Grocery Stores - Ep. 97
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