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Artificial intelligence has become a central research area in computer science, particularly in systems that learn from data. Machine learning enables models to identify patterns without explicit programming, while deep learning excels at processing unstructured data such as images, text, and audio. Current research focuses on improving model interpretability, as many systems remain opaque. Ethical issues, including bias, fairness, and accountability, are also critical concerns. Efforts are underway to align AI outputs with human values while maintaining performance. The integration of AI into applications such as healthcare and autonomous systems promotes interdisciplinary collaboration. Future progress will depend on both technical innovation and societal acceptance.