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. Key Words : Vedic Mathematics, Machine Learning, Pattern Recognition, Algorithm Design, Optimization Techniques, Feature Engineering, Cryptography, Computer Vision 1. Introduction In the ever-evolving landscape of technology and computational science, there exists a rich tapestry of ancient wisdom waiting to be unearthed and integrated into the fabric of modern innovation. Among these treasures lies Vedic Computing, a system of mathematical and computational principles originating from the ancient texts of the Indian subcontinent. While the term "Vedic" often evokes imagery of spiritual and philosophical discourse, its application in the 2 realm of computing unveils a profound reservoir of knowledge that transcends time and cultural boundaries. The Vedas, ancient scriptures dating back thousands of years, serve as the foundational texts from which Vedic Computing derives its principles[8]. Within these scriptures, particularly in the Sulba Sutras, one finds a treasure trove of mathematical aphorisms and techniques that offer a unique perspective on problem-solving and computation[1]. The sutras, succinct and cryptic in nature, encapsulate profound mathematical insights that have the potential to revolutionize contemporary computational paradigms[23]. The resurgence of interest in Vedic Mathematics in recent decades has sparked a renewed exploration of its relevance in modern technology. Scholars and practitioners alike are drawn to its inherent simplicity, elegance, and efficiency, which stand in stark contrast to the complexity often associated with conventional algorithms. By delving into the essence of Vedic Mathematics, one discovers not only a repertoire of computational techniques but also a holistic approach to problem-solving that fosters creativity, intuition, and mathematical insight. The author has earlier proposed “Lateral Computing” as a new discipline of Computing based on lateral thinking[22]. The proposed discipline on “Vedic Computing” has extensive literature backing with books, research papers, articles, online courses, research theses, practicing scholars and students all over the world. The computing discipline of “Vedic Computing” has emerged from the Vedic Mathematics applied in computing problem solving. This paper seeks to delve into the heart of Vedic Computing, unraveling its mysteries and elucidating its potential implications for modern technology. Through a comprehensive examination of the foundational principles, techniques, and applications of Vedic Mathematics, we aim to bridge the gap between ancient wisdom and contemporary innovation. By exploring the parallels and divergences between Vedic Computing and modern computational methodologies, we seek to unearth novel approaches to algorithm design, data processing, and artificial intelligence. Furthermore, this paper endeavors to shed light on the transformative power of integrating ancient wisdom with modern technology. By reviving and revitalizing the principles of Vedic Computing, we not only pay homage to the wisdom of our ancestors but also pave the way for a more harmonious and efficient future in computational science and technology. As we embark on this journey of rediscovery, let us heed the call to embrace the timeless wisdom of Vedic Computing and forge new frontiers in the ever-expanding realm of human knowledge and innovation. This paper is structured as follows: In the next section, the brief overview of Vedic Mathematics is presented. In section 3, overview of Vedic Computing is presented. In section 4, the applications of Vedic Computing to Machine Learning, Cryptography, Computer Architecture, CPU design, Signal Processing etc is brought out. In the section 5, future direction, issues and challenges are presented. The conclusions are presented in the section 6. 3 2. Overview of Vedic Mathematics Vedic mathematics is a method of mathematical techniques and principles that was developed in India, primarily from the Vedas, which are ancient Indian scriptures. These techniques were recovered in the early 20th century by mathematicians[1-4].The essence of Vedic mathematics lies in its simplicity, efficiency, and elegance in solving complex mathematical problems. Unlike conventional techniques practiced in modern mathematics, which often involve multiple steps and complex procedures, Vedic mathematics offers efficient approaches that speedup calculations and promote mental arithmetic. Key practices and principles of Vedic mathematics are as follows:  Sutras (Aphorisms): Vedic mathematics is consisting of a set of 16 sutras or aphorisms, which serve as guiding principles for problem-solving. These sutras capture concise and efficient techniques for performing primary mathematical operations such as addition, subtraction, multiplication, division, square roots, and cube roots.  Sub-Sutras (Corollaries): Each sutra is emphasized by sub-sutras or corollaries, which offer further insights and extensions to the main principles. These sub-sutras offer additional techniques for solving specific types of mathematical problems and imporving computational efficiency.  Digit Sums and Casting Out Nines: Vedic mathematics stresses the use of digit sums and casting out nines techniques to verify calculations and detect errors. By reducing numbers to their digital roots or residues modulo 9, mathematicians can quickly identify mistakes and ensure accuracy in computations.  Pattern Recognition: Vedic mathematics promotes pattern recognition and intuition as a fundamental approach to problem-solving. By quickly recognizing recurring patterns and structures in mathematical operations, mathematicians can devise intuitive and efficient strategies for solving complex problems.  Rapid Mental Calculations: One of the benefits of Vedic mathematics is its emphasis on mental arithmetic and fast calculations. Through the application of sutras and mental techniques, mathematicians can perform calculations quickly and accurately without the need for pen and paper.  Universal Applicability: Vedic mathematics is not restricted to specific mathematical domains but is applicable across all branches of mathematics, including arithmetic, algebra, geometry, and calculus. Its diversity and adaptability make it a valuable tool for solving complex mathematical problems. The Vedic mathematics offers a unique outlook on mathematical problem-solving, characterized by its simplicity, efficiency, and versatility. By adapting principles from Vedic mathematics into mathematical education and practice, mathematicians can enhance their 4 computational skills, cultivate mathematical intuition, and appreciate the beauty of mathematical concepts and techniques. While Vedic mathematics has garnered admiration for its simplicity and efficiency, it has also sparked controversies and debates among scholars and practitioners[18,19]. Some of the key controversies surrounding Vedic mathematics include:  Historical Accuracy: One of the primary controversies surrounding Vedic mathematics is its historical authenticity. Skeptics argue that the term "Vedic mathematics" was coined relatively recently, and there is limited evidence to suggest that the mathematical techniques attributed to the Vedas were actually practiced in ancient India. Critics suggest that some of the techniques may have been retroactively attributed to the Vedas to lend them credibility.  Lack of Rigorous Formalism: Critics argue that Vedic mathematics lacks the rigorous formalism and theoretical underpinnings of modern mathematics. While Vedic techniques may be effective for certain types of calculations, they often lack the mathematical rigor and logical foundation required for broader mathematical analysis. This has led some mathematicians to dismiss Vedic mathematics as a collection of mnemonic tricks rather than a rigorous mathematical system.  Cultural Appropriation: The appropriation of Vedic mathematics by Western enthusiasts has sparked debates about cultural ownership and appropriation. Some critics argue that the popularization of Vedic mathematics by non-Indian practitioners has obscured its cultural and historical context, reducing it to a set of mathematical techniques divorced from its origins in ancient Indian culture and spirituality.  Exaggerated Claims: Proponents of Vedic mathematics have sometimes made exaggerated claims about its effectiveness and superiority over conventional mathematical methods. Critics argue that while Vedic techniques may offer shortcuts for certain types of calculations, they are not universally applicable and may be less efficient or practical in many contexts. Exaggerated claims about the speed and efficiency of Vedic mathematics can mislead students and practitioners.  Limited Pedagogical Value: Some educators argue that while Vedic mathematics techniques may be interesting as historical curiosities, they have limited pedagogical value in modern mathematics education. Critics contend that a focus on Vedic techniques may detract from the development of deeper conceptual understanding and problem- solving skills that are essential for success in mathematics. While, Vedic mathematics has attracted attention for its innovative techniques and potential applications, it remains a subject of controversy and debate within the mathematical community. Further research and critical analysis are needed to assess the historical authenticity, pedagogical efficacy, and practical applicability of Vedic mathematics in contemporary contexts. 5 3. Vedic Computing Paradigm The Vedic computing paradigm is a system of mathematical and computational principles derived from ancient Indian scriptures known as the Vedas. It encompasses a holistic approach to problem-solving and computation, emphasizing simplicity, efficiency, and intuitive understanding. The core of Vedic computing lies in the application of sutras (aphorisms) found within the Vedas, particularly in texts like the Sulba Sutras, which contain mathematical insights and techniques. Key characteristics of the Vedic computing paradigm include:  Sutras: The Vedic texts contain concise and cryptic aphorisms, known as sutras, which encapsulate mathematical principles and techniques. These sutras provide compact yet powerful formulas for performing various mathematical operations.  Simplicity and Efficiency: Vedic computing techniques are known for their simplicity and efficiency. They often involve mental calculations and shortcut methods that streamline computation, reducing the need for lengthy algorithms.  Holistic Approach: Unlike conventional mathematical methods that focus on isolated techniques, Vedic computing adopts a holistic approach to problem-solving. It integrates various mathematical concepts and encourages a comprehensive understanding of the underlying principles.  Flexibility and Versatility: Vedic computing techniques are versatile and applicable across a wide range of mathematical operations and problem domains. They can be adapted and combined to suit different computational tasks, promoting flexibility and creativity in problem-solving.  Intuition and Insight: The emphasis on intuition and insight in Vedic computing fosters a deeper understanding of mathematical concepts. Practitioners develop a heightened sense of mathematical intuition, enabling them to visualize solutions and explore alternative approaches to problem-solving.  Relevance in Modern Contexts: Despite originating from ancient texts, Vedic computing principles remain relevant in modern contexts. Their simplicity and efficiency make them well-suited for applications in various fields, including mathematics, computer science, and engineering. The Vedic computing paradigm offers a unique perspective on computation, rooted in ancient wisdom yet adaptable to contemporary challenges. By embracing the principles of simplicity, efficiency, and holistic understanding, practitioners of Vedic computing can unlock new avenues for innovation and problem-solving in the digital age. 6 4. Application of Vedic Computing The applications of Vedic computing span across various fields, including mathematics, education, mental arithmetic, computer science, and even modern technological domains. Here are some notable applications:  Mathematics Education: Vedic computing techniques are increasingly being incorporated into mathematics education curricula to teach students alternative methods for calculation. These techniques not only improve computational speed but also enhance students' understanding of mathematical concepts.  Mental Arithmetic: Vedic computing methods enable individuals to perform complex arithmetic calculations mentally and swiftly. This skill is particularly useful in situations where quick calculations are required, such as in competitive exams, business transactions, or everyday life.  Algorithm Optimization: The simplicity and efficiency of Vedic computing techniques have sparked interest in their application to optimize algorithms in computer science. By leveraging Vedic algorithms, researchers aim to develop faster and more efficient computational methods for various tasks, including data processing, cryptography, and optimization problems.  Artificial Intelligence and Machine Learning: Vedic computing principles, with their emphasis on intuition and holistic problem-solving, offer alternative approaches to algorithm design in artificial intelligence and machine learning. Integrating Vedic techniques with modern computational methods could lead to novel algorithms that are more intuitive, interpretable, and efficient[15, 16, 17].  Quantum Computing: Vedic computing principles may also find applications in quantum computing, a rapidly evolving field that promises to revolutionize computation. The holistic nature of Vedic mathematics aligns with the non-linear and probabilistic nature of quantum mechanics, potentially inspiring new algorithms and computational paradigms in quantum computing.  Cryptography: Vedic computing techniques could be explored for applications in cryptography, particularly in developing efficient encryption and decryption algorithms. The simplicity and versatility of Vedic algorithms may offer alternative approaches to cryptographic protocols, enhancing security and computational efficiency[11].  Data Analysis and Optimization: Vedic computing principles can be applied to optimize data analysis processes and solve optimization problems in various domains, including finance, logistics, and engineering. By leveraging Vedic techniques, researchers aim to develop faster and more efficient algorithms for data processing, pattern recognition, and decision-making.  Educational Technology: In the realm of educational technology, Vedic computing applications include the development of digital tools and software applications aimed at 7 teaching and practicing Vedic mathematics techniques. These tools provide interactive learning experiences and help students enhance their computational skills in an engaging manner. In essence, the applications of Vedic computing are diverse and evolving, spanning from traditional mathematics education to cutting-edge technological domains. By integrating ancient wisdom with modern computational methods, practitioners aim to unlock new avenues for innovation and problem-solving in the digital age. 5. Future Directions Future directions in Vedic computing are poised to explore and expand the application of ancient mathematical principles in contemporary technological contexts. Here are several potential future directions:  Integration with Artificial Intelligence (AI) and Machine Learning (ML): Research could focus on integrating Vedic computing techniques with AI and ML algorithms to develop more intuitive and efficient computational models. By leveraging the holistic and intuitive nature of Vedic mathematics, practitioners aim to enhance the interpretability, efficiency, and performance of AI and ML systems.  Quantum Vedic Computing: Given the parallels between Vedic principles and the non- linear nature of quantum mechanics, future research could explore the application of Vedic computing in quantum computing. Quantum Vedic computing aims to develop quantum algorithms inspired by Vedic mathematics, potentially unlocking new possibilities for efficient computation and problem-solving in quantum systems.  Vedic Computing in Cryptography and Cybersecurity: Future research could investigate the application of Vedic computing techniques in cryptography and cybersecurity. By developing novel encryption and decryption algorithms based on Vedic principles, practitioners aim to enhance the security and efficiency of cryptographic protocols, addressing emerging challenges in cybersecurity.  Education and Pedagogy: Future directions in Vedic computing could focus on innovative approaches to teaching and learning Vedic mathematics techniques. Digital educational platforms and interactive learning tools could be developed to provide immersive and engaging experiences for students, facilitating the widespread adoption of Vedic computing principles in mathematics education.  Cross-Disciplinary Applications: Research could explore the application of Vedic computing principles in diverse fields beyond mathematics and computer science, including physics, engineering, finance, and biology. By leveraging the versatility and adaptability of Vedic techniques, practitioners aim to address complex challenges and drive innovation in interdisciplinary domains. 8  Development of Computational Tools and Software: Future directions in Vedic computing could involve the development of computational tools and software applications that integrate Vedic mathematics techniques into existing computational frameworks. These tools aim to provide practitioners with intuitive and efficient solutions for a wide range of computational tasks, fostering creativity and innovation in problem- solving.  Cultural Preservation and Knowledge Transmission: Future efforts could focus on preserving and transmitting the knowledge of Vedic computing to future generations. This involves documenting and disseminating ancient mathematical techniques through educational initiatives, research publications, and digital archives, ensuring the continued relevance and vitality of Vedic computing in the modern world. The future directions in Vedic computing are multifaceted and interdisciplinary, encompassing a wide range of research areas and applications. By embracing the timeless wisdom of Vedic mathematics and integrating it with modern technology, practitioners aim to unlock new avenues for innovation, problem-solving, and cultural enrichment in the digital age. 6. Conclusion In conclusion, the exploration of Vedic computing has unveiled a rich tapestry of ancient wisdom with profound implications for modern technology and computational science. Through an in-depth analysis of the foundational principles, techniques, and applications of Vedic mathematics, we have discovered a holistic approach to problem-solving that transcends cultural and temporal boundaries. The simplicity, efficiency, and versatility of Vedic computing techniques offer novel perspectives on algorithm design, data processing, and artificial intelligence. By integrating ancient wisdom with contemporary innovation, practitioners of Vedic computing pave the way for a more harmonious and efficient future in computational science and technology. As we look to the future, the potential of Vedic computing remains vast and untapped. From its integration with artificial intelligence and quantum computing to its applications in cryptography and interdisciplinary domains, Vedic computing continues to inspire curiosity and exploration. Furthermore, the revival and preservation of Vedic computing principles serve not only as a testament to the ingenuity of our ancestors but also as a bridge between past traditions and future innovation. By embracing the timeless wisdom of Vedic mathematics, we honor the legacy of those who came before us while charting a course towards new frontiers in computational science and technology. In essence, Vedic computing embodies the synthesis of ancient wisdom and modern technology, offering a pathway to deeper understanding, creativity, and innovation in the digital age. As we embark on this journey of rediscovery, let us heed the call to embrace the timeless wisdom of Vedic computing and forge new horizons in the ever-expanding realm of human knowledge and ingenuity. 9 Acknowledgement: The various AI and Plagiarism tools have been utilized extensively in writing this paper: chatgpt, Turnitin, Grammarly, Bard etc.