What are the best practices for developing AI algorithms for self-driving cars?
Self-driving cars are one of the most exciting and challenging applications of artificial intelligence (AI). They require complex and robust algorithms that can sense, perceive, plan, and act in dynamic and uncertain environments. Developing AI algorithms for self-driving cars is not a trivial task, and it involves following some best practices to ensure safety, efficiency, and reliability. In this article, you will learn about some of these best practices and how they can help you create better AI solutions for autonomous vehicles.
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Magali CicujanoDedicated and results-driven expert in digital sustainability with extensive experience in consulting
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Mohammad HatoumFounder & CTO at Alpha Trust AI | Expert in AI & Machine Learning | Seasoned Full Stack Developer | Strategic Leader…
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Tushar KheteLead GEN AI Engineer | AI Leader | Data Scientist | AWS