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Building Trustworthy AI - Aryan Malhotra
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Artificial Intelligence: An Introduction Artificial intelligence (AI) is one of the revolutionary technologies that is transforming our world. It works on the basis of machine learning algorithms that are capable of imitating human intelligence, solving problems, and making decisions. We can experience the influence of AI in all areas of our daily lives today. From personal assistants to medical diagnostics, from transportation to financial management, AI is making our lifestyles more efficient and better. However, there are many questions that arise in the minds of many people about what AI…mehr

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Artificial Intelligence: An Introduction Artificial intelligence (AI) is one of the revolutionary technologies that is transforming our world. It works on the basis of machine learning algorithms that are capable of imitating human intelligence, solving problems, and making decisions. We can experience the influence of AI in all areas of our daily lives today. From personal assistants to medical diagnostics, from transportation to financial management, AI is making our lifestyles more efficient and better. However, there are many questions that arise in the minds of many people about what AI is, how it works, and in which areas it is applied. In this article, we will provide an understandable introduction to artificial intelligence for a common man and introduce its various applications. What is AI? Artificial intelligence is the ability of a machine to perform tasks that are typically associated with human intelligence, such as learning and problem-solving. AI research has been highly successful in developing effective techniques for solving a wide range of problems, from game playing to medical diagnosis. How does AI work? AI works by using machine learning algorithms to learn from data. Machine learning is a type of artificial intelligence that allows computers to learn without being explicitly programmed. Machine learning algorithms are trained on large datasets of labeled data. The algorithms then learn to identify patterns in the data and use these patterns to make predictions or decisions.