AI and ML find applications in various industries, including healthcare, finance, marketing, education, and more. They are used for tasks such as image and speech recognition, natural language processing.
Challenges in AI and ML include issues related to data quality and bias, interpretability of models, ethical considerations, and the need for large amounts of labeled data for training deep learning models.
The field of AI and ML continues to evolve, with ongoing research in areas such as explainable AI, transfer learning, and the integration of AI with other technologies like the Internet of Things (IoT) and edge computing.
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