ADVANCING ARTIFICIAL INTELLIGENCE AND DATA SCIENCE: A COMPREHENSIVE FRAMEWORK FOR COMPUTATIONAL EFFICIENCY AND SCALABILITY
Praveen Kumar Reddy Gujjala
Abstract
The exponential growth of artificial intelligence (AI) and data science applications has created unprecedented demands for computational efficiency and performance optimization.While high-level programming languages dominate the data science landscape, the C programming language remains fundamental for developing highperformance AI algorithms and data processing systems.This paper presents a comprehensive framework that leverages C programming to enhance AI and data science applications through optimized memory management, parallel processing, and algorithm implementation.Our research addresses the critical need for performancedriven solutions in machine learning, neural networks, and large-scale data analytics.The problem statement centers on the performance bottlenecks encountered in AI and data science applications when using interpreted languages.