In this paper, “Vedic Computing” is proposed as new computing discipline inspired by Vedic Mathematics with applications in Cryptography, Machine Learning, Computer Vision, HPC, Computer Architecture, Signal processing etc. Vedic Computing, integrates an ancient system of knowledge originating from the Indian subcontinent, offers profound insights into mathematical and computational principles. This paper delves into the foundational concepts of Vedic Mathematics and its relevance in contemporary computing paradigms. By elucidating the sutras (aphorisms) and techniques embedded within Vedic texts such as the Vedas and the Sulba Sutras, we uncover a holistic approach to problem-solving that transcends conventional algorithms. Drawing parallels between Vedic Mathematics and modern computational methods, we identify key areas of synergy and divergence. The innate simplicity and elegance of Vedic techniques lend themselves to optimization and efficiency in diverse computational tasks. Moreover, the holistic nature of Vedic Mathematics fosters a deeper understanding of mathematical concepts, promoting creativity and intuition in problem-solving. Through a comparative analysis with modern computing methodologies, this paper underscores the timeless relevance of Vedic Computing principles. By integrating ancient wisdom with contemporary technology, we unveil novel approaches to algorithm design, data processing, and artificial intelligence. Furthermore, we explore the potential implications of Vedic Computing in emerging fields such as quantum computing and machine learning. In conclusion, this paper advocates for the revival and integration of Vedic Computing principles in modern technology, emphasizing the synergy between ancient wisdom and contemporary innovation. By harnessing the insights of the past, we pave the way for a more harmonious and efficient future in computational science and technology. Vedic Computing is backed by vast literature, scholarly publications, active researchers and practitioners.
CRS KUMAR (Tue,) studied this question.