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AI AllOther (6) In k-means or knn, we use euclidean distance to calculate the distance between nearest neighbors. Why not manhattan distance?
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How does explainable AI (XAI) improve trust in AI systems?
What are some of the major challenges facing AI research today?
What is your understanding of the different types of cloud-based machine learning services?
What techniques can be used to make AI models more fair?
How can preprocessing techniques reduce bias in datasets?
What techniques can improve the explainability of AI models?
What are the challenges in applying AI to environmental issues?
How does AI intersect with human bias and societal inequities?
Discuss the ethical challenges of using AI in healthcare.
What are the apis outside tensorflow project?
What are the risks of using open-source Generative AI models?
What are the limitations when applying AI in climate modeling?
Explain the concept of adversarial attacks and how to protect AI models from them.
What are the advantages of running AI models on IoT devices?
How do you integrate Generative AI models with existing enterprise systems?