• Sheshadri A V
• Renuka Prasada T

Neural networks, inspired by the human brain, have emerged as a core component of artificial intelligence (AI) and machine learning. They are widely used in computer vision, speech processing, natural language understanding, and autonomous systems. This research paper combines qualitative and quantitative methods to examine awareness, applications, and challenges of neural networks in computer science. A survey of 220 respondents (students, researchers, and IT professionals) measured perceptions of neural networks, while interviews with 8 AI experts provided deeper insights. Results indicate that 81% of respondents view neural networks as transformative for modern computing, with applications primarily in image recognition, fraud detection, and natural language processing. However, challenges such as high computational requirements, overfitting, and lack of interpretability persist. The paper concludes that neural networks form the backbone of artificial intelligence, but sustainable growth depends on algorithmic optimization, transparency, and scalable infrastructure.

Neural Networks; Artificial Intelligence; Deep Learning; Machine Learning; Computer Science.

"Advancements and Applications of Neural Networks: A Mixed-Method Research Study", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.611-613, June-2019, Available :http://www.jetir.org/papers/JETIR1908E88.pdf

"Advancements and Applications of Neural Networks: A Mixed-Method Research Study", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp611-613, June-2019, Available at : http://www.jetir.org/papers/JETIR1908E88.pdf