Neural networks have witnessed remarkable advancements in recent years, revolutionizing various fields such as computer vision, natural language processing, and reinforcement learning. This research article delves into the current state of neural networks and explores the potential breakthroughs and directions they may take in the future. We discuss key areas of development, including architecture enhancements, ethical considerations, and emerging applications, shedding light on the exciting prospects of neural networks in the years to come.
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Journal of Computer Science & Systems Biology received 2279 citations as per Google Scholar report
