Authors: Aarti Verma
Abstract: Artificial Intelligence (AI) and Machine Learning (ML) have emerged as transformative technologies with significant implications for various sectors. This paper explores recent advancements in AI and ML, focusing on deep learning techniques, reinforcement learning, and the integration of AI with edge computing. Key trends such as the rise of generative adversarial networks (GANs), transfer learning, and the application of AI in natural language processing (NLP) are discussed. Additionally, the paper examines the challenges and ethical considerations associated with these technologies, including bias in AI models and data privacy concerns. By analyzing current research and practical applications, this study provides insights into how AI and ML are shaping the future of technology and industry.
Keywords: Artificial Intelligence, Machine Learning, Deep Learning, Generative Adversarial Networks, Natural Language Processing
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