Frontiers of Computing - Evolutionary Trends and Cutting-Edge Technologies in Computer Science and Next Generation Application
Main Article Content
Abstract
The cutting edge of computing is always changing because people are always looking for new ways to do things and combining cutting-edge tools. There are a number of natural trends that will affect the next generation of apps. Quantum computing is one of the most important trends. It is a new way of doing things that uses the rules of quantum physics to do calculations at speeds that are impossible with regular computers. Quantum computing could help solve hard issues in security, optimization, and modeling, which would lead to new science discoveries and technological progress.Neuromorphic computing, which is based on the structure of the human brain, is another new realm. The goal of this revolutionary way of computing is to create artificial neural networks that can learn, change, and process information in ways that are similar to how biological systems do it. There is a lot of promise for neuromorphic computing to improve machine learning and make AI apps more efficient and complex.The world of computing is also changing because artificial intelligence (AI) and edge computing are coming together. Edge computing brings computing power closer to the data source, which lowers delay and improves real-time processing. This is why it is so important for the growth of technologies like self-driving cars, smart cities, and the Internet of Things (IoT).Adding blockchain technology is another step forward that will make sure deals in open systems are safe and clear. Blockchain is used for more than just cryptocurrency. It has an impact on supply chain management, healthcare, and banking, among other areas. The quantum computing, neuromorphic computing, the combination of AI and edge computing, and the use of blockchain technology are all on the cutting edge of computing. Together, these trends bring computer science into a new era and lay the groundwork for groundbreaking uses that will shape the future of technology.
Article Details
This work is licensed under a Creative Commons Attribution-NoDerivatives 4.0 International License.
References
B. Davies, T. Beauchamp, G. Vardoyan and S. Wehner, "Tools for the analysis of quantum protocols requiring state generation within a time window," in IEEE Transactions on Quantum Engineering, doi: 10.1109/TQE.2024.3358674.
G. S. Navale, R. Madala, M. Managuli, N. Jayalakshmi, G. Kadiravan and R. Rawat, "Research and Innovation In Next Generation Security and Privacy In Industry 5.0 Iot," 2023 6th International Conference on Contemporary Computing and Informatics (IC3I), Gautam Buddha Nagar, India, 2023, pp. 1384-1390, doi: 10.1109/IC3I59117.2023.10397984.
S. Al Farshi Oman, M. N. Jamil and S. M. T. U. Raju, "BCL: A Branched CNN-LSTM Architecture for Human Activity Recognition Using Smartphone Sensors," 2023 International Conference on Next-Generation Computing, IoT and Machine Learning (NCIM), Gazipur, Bangladesh, 2023, pp. 1-5, doi: 10.1109/NCIM59001.2023.10212972.
V. Kumar, P. J. Babubhai, F. Ahmed Fayaz, K. Dhobal, P. Kumar Rai and A. Rachapalli, "Role of Artificial Intelligence in the Next Generation Wearable Devices," 2023 3rd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE), Greater Noida, India, 2023, pp. 1180-1184, doi: 10.1109/ICACITE57410.2023.10183167.
M. Darshan, M. Amet, G. Srivastava and J. Crichigno, "An Architecture That Enables Cross-Chain Interoperability for Next-Gen Blockchain Systems," in IEEE Internet of Things Journal, vol. 10, no. 20, pp. 18282-18291, 15 Oct.15, 2023, doi: 10.1109/JIOT.2023.3279693.
U. Cali, M. Kuzlu, E. Karaarslan and V. Jovanovic, "Opportunities and Challenges in Metaverse for Industry 4.0 and Beyond Applications," 2022 IEEE 1st Global Emerging Technology Blockchain Forum: Blockchain & Beyond (iGETblockchain), Irvine, CA, USA, 2022, pp. 1-6, doi: 10.1109/iGETblockchain56591.2022.10087104.
R. Filgueira, F. M. Awaysheh, A. Carter, D. J. White and O. Rana, "SparkFlow: Towards High-Performance Data Analytics for Spark-based Genome Analysis," 2022 22nd IEEE International Symposium on Cluster, Cloud and Internet Computing (CCGrid), Taormina, Italy, 2022, pp. 1007-1016, doi: 10.1109/CCGrid54584.2022.00123.
B. Tahir and M. A. Mehmood, "Corpulyzer: A Novel Framework for Building Low Resource Language Corpora," in IEEE Access, vol. 9, pp. 8546-8563, 2021, doi: 10.1109/ACCESS.2021.3049793.
Ajani, S. N. ., Khobragade, P. ., Dhone, M. ., Ganguly, B. ., Shelke, N. ., &Parati, N. . (2023). Advancements in Computing: Emerging Trends in Computational Science with Next-Generation Computing. International Journal of Intelligent Systems and Applications in Engineering, 12(7s), 546–559
I. Sharma, D. Mandal and Y. Hasija, "Big Data and Hadoop in Biology: Introduction, Implementation and Applications," 2018 International Conference on Computing, Power and Communication Technologies (GUCON), Greater Noida, India, 2018, pp. 254-258, doi: 10.1109/GUCON.2018.8675042.
E. Pallis et al., "NEREUS: an ERASMUS+ Strategic Partnership for skills development in the field of "next generation networked media over 4G+ infrastructures"," 2017 27th EAEEIE Annual Conference (EAEEIE), Grenoble, France, 2017, pp. 1-6, doi: 10.1109/EAEEIE.2017.8768594.
A. Celesti, M. Fazio, F. Celesti, G. Sannino, S. Campo and M. Villari, "New trends in Biotechnology: The point on NGS Cloud computing solutions," 2016 IEEE Symposium on Computers and Communication (ISCC), Messina, Italy, 2016, pp. 267-270, doi: 10.1109/ISCC.2016.7543751.
Shete, Dhanashri, and PrashantKhobragade. "An empirical analysis of different data visualization techniques from statistical perspective." AIP Conference Proceedings. Vol. 2839. No. 1. AIP Publishing, 2023.
B. S. Rao et al., "A Novel Machine Learning Approach of Multi-omics Data Prediction", 2022 International Conference on Innovative Computing Intelligent Communication and Smart Electrical Systems (ICSES), pp. 1-5, 2022.
AddankiKavitha, B. SrinivasaRao, NikhatAkthar, Shaik Mohammed Rafi, Prabhdeep Singh, Sunanda Das, et al., "A Novel Algorithm to Secure Data in New Generation Health Care System from Cyber Attacks Using IoT", International Journal of Electrical and Electronics Research(IJEER), vol. 10, no. 2, pp. 270-275, 2022.
K. Agnihotri, P. Chilbule, S. Prashant, P. Jain and P. Khobragade, "Generating Image Description Using Machine Learning Algorithms," 2023 11th International Conference on Emerging Trends in Engineering & Technology - Signal and Information Processing (ICETET - SIP), Nagpur, India, 2023, pp. 1-6, doi: 10.1109/ICETET-SIP58143.2023.10151472.
E. L. Alvarez-Aros and C. A. Bernal-Torres, "Technological competitiveness and emerging technologies in industry 4.0 and industry 5.0", Anais da Academia Brasileira de Ciências, pp. 93, 2021.
A. Haleem and M. Javaid, "Industry 5.0 and its applications in orthopaedics", Journal of Clinical Orthopaedics& Trauma, vol. 10, no. 4, pp. 807-808, 2019.
S. Kumar, R. Yadav, P. Kaushik, S. T. Babu, R. K. Dubey and Subramanian, "Effective Cyber Security Using IoT to Prevent E-Threats and Hacking During Covid-19", International Journal of Electrical and Electronics Research, pp. 111-116, 2022.
H. Wang, L. Lv, X. Li, H. Li, J. Leng, Y. Zhang, et al., "A safety management approach for Industry 5.0’ s human-centered manufacturing based on digital twin", Journal of Manufacturing Systems, vol. 66, pp. 1-12, 2023.
M. G. de Andrade, W. Dai, S. Guha and D. Towsley, "A quantum walk control plane for distributed quantum computing in quantum networks," 2021 IEEE International Conference on Quantum Computing and Engineering (QCE), Broomfield, CO, USA, 2021, pp. 313-323, doi: 10.1109/QCE52317.2021.00048.
M. M. Hanafi, P. Azizi, S. T. Akinbola, R. Ismail, A. R. Sahibin, I. Wan MohdRazi, et al., "Valorization of rare earth processing byproducts for agriculture usage", Scientific reports, vol. 11, no. 1, pp. 1-19, 2021.
P. Khobragade, P. Ghutke, V. P. Kalbande and N. Purohit, "Advancement in Internet of Things (IoT) Based Solar Collector for Thermal Energy Storage System Devices: A Review," 2022 2nd International Conference on Power Electronics & IoT Applications in Renewable Energy and its Control (PARC), Mathura, India, 2022, pp. 1-5, doi: 10.1109/PARC52418.2022.9726651.
Y. Peng, X. Chen and X. Wang, "Enhancing supply chain flows through blockchain: a comprehensive literature review", International Journal of Production Research, pp. 1-22, 2022.
C. Zhang and Y. Chen, "A review of research relevant to the emerging industry trends: Industry 4.0 IoT blockchain and business analytics", Journal of Industrial Integration and Management, vol. 5, no. 01, pp. 165-180, 2020.
JP Harrisson-Boudreau and J Bellemare, "Going Above and Beyond eCom-merce in the Future Highly Virtualized World and Increasingly Digital Ecosystem" in InTowards Sustainable Customization: Bridging Smart Products and Manufacturing Systems, Cham:Springer, pp. 789-797, Nov 2021.
E. Karaarslan and M. Babiker, "Digital Twin Security Threats and Countermeasures: An Introduction", 2021 International Conference on Information Security and Cryptology (ISCTURKEY), pp. 7-11, December 2021.