IECE - Institute of Emerging and Computer Engineers

  • Sign Up Log in
    Log in

    • -
    CiteScore
    -
    Impact Factor
    1. Home
    2. Journals
    3. IECE Transactions on Machine Intelligence
    4. Volume 1, Issue 1
    Volume 1, Issue 1, IECE Transactions on Machine Intelligence
    Volume 1, Issue 1, 2024
    Submit Manuscript Edit a Special Issue
    Article QR Code
    Article QR Code
    Scan the QR code for reading
    Popular articles
    Research on A Ship Trajectory Classification Method Based on Deep Learning YOLOv7-Bw: A Dense Small Object Efficient Detector Based on Remote Sensing Image Deep Prediction Network Based on Covariance Intersection Fusion for Sensor Data A Mimic Fusion Algorithm for Dual Channel Video Based on Possibility Distribution Synthesis Theory Visual Feature Extraction and Tracking Method Based on Corner Flow Detection Bridging Modalities: A Survey of Cross-Modal Image-Text Retrieval Inaugural Editorial of the Chinese Journal of Information Fusion Simultaneous Spatiotemporal Bias Compensation and Data Fusion for Asynchronous Multisensor Systems YOLOv8-Lite: A Lightweight Object Detection Model for Real-time Autonomous Driving Systems Extraction of Motion Information from Occupancy Grid Map Using Keystone Transform
    IECE Transactions on Machine Intelligence, 2024, Volume 1, Issue 1: 1-5

    Open Access | Editorial | 31 December 2024
    Advances in Machine Intelligence: Past, Present, and Future
    by
    IECE Author Gaurav Dhiman 1 *
    1 School of Sciences and Emerging Technologies, Jagat Guru Nanak Dev Punjab State Open University, Patiala 147001, India
    * Corresponding Author: Gaurav Dhiman, [email protected]
    DOI: https://doi.org/10.62762/TMI.2024.631844
    Received: 12 December 2024, Accepted: 24 December 2024, Published: 31 December 2024  
       PDF  (561.20 KB)
    Article Metrics Cite This Article
    Abstract
    Machine intelligence has evolved from being a purely theoretical idea into a fundamental element of contemporary technology, transforming industries and influencing society on a broad scale. This editorial delves into its historical development, recent advancements, and prospective future directions. It highlights the dynamic interaction between technological progress, innovative algorithms, and the ethical challenges that shape the field, offering a thorough and insightful overview.
    Keywords
    machine intelligence
    past, present, and future
    Funding
    This work was supported without any funding.
    Cite This Article
    APA Style
    Dhiman, G. (2024). Advances in Machine Intelligence: Past, Present, and Future. IECE Transactions on Machine Intelligence, 1(1), 1–5. https://doi.org/10.62762/TMI.2024.631844
    References
    1. Cooper, S. B., & Van Leeuwen, J. (Eds.). (2013). Alan Turing: His work and impact. Elsevier.
      [Google Scholar]
    2. Turing, A. M. (2009). Computing machinery and intelligence (pp. 23-65). Springer Netherlands.
      [Google Scholar]
    3. Cordeschi, R. (2007). AI turns fifty: revisiting its origins. Applied Artificial Intelligence, 21(4-5), 259-279.
      [Google Scholar]
    4. Cordeschi, R., & Cordeschi, R. (2002). New Steps Towards the Artificial. The Discovery of the Artificial: Behavior, Mind and Machines Before and Beyond Cybernetics, 187-240.
      [Google Scholar]
    5. Chang, A. C. (2020). Intelligence-based medicine: artificial intelligence and human cognition in clinical medicine and healthcare. Academic Press.
      [Google Scholar]
    6. Seneviratne, S., Senanayake, D., Rasnayaka, S., Vidanaarachchi, R., & Thompson, J. (2022, November). DALLE-URBAN: Capturing the urban design expertise of large text to image transformers. In 2022 International Conference on Digital Image Computing: Techniques and Applications (DICTA) (pp. 1-9). IEEE.
      [Google Scholar]
    7. Davis, J., Purves, D., Gilbert, J., & Sturm, S. (2022). Five ethical challenges facing data-driven policing. AI and Ethics, 2(1), 185-198.
      [Google Scholar]
    8. Hamadneh, T., Batiha, B., Al-Baik, O., Bektemyssova, G., Montazeri, Z., Werner, F., ... & Eguchi, K. (2024). Sales Training Based Optimization: A New Human-inspired Metaheuristic Approach for Supply Chain Management. International Journal of Intelligent Engineering & Systems, 17(6).
      [Google Scholar]
    9. Singh, S. P., Kumar, N., Alghamdi, N. S., Dhiman, G., Viriyasitavat, W., & Sapsomboon, A. (2024). Next-Gen WSN Enabled IoT for Consumer Electronics in Smart City: Elevating Quality of Service Through Reinforcement Learning-Enhanced Multi-Objective Strategies. IEEE Transactions on Consumer Electronics.
      [Google Scholar]
    10. Singh, S. P., Kumar, N., Dhiman, G., Vimal, S., & Viriyasitavat, W. (2024). AI-Powered Metaheuristic Algorithms: Enhancing Detection and Defense for Consumer Technology. IEEE Consumer Electronics Magazine.
      [Google Scholar]
    11. Pinki, Kumar, R., Vimal, S., Alghamdi, N. S., Dhiman, G., Pasupathi, S., ... & Kaur, A. Artificial intelligence-enabled smart city management using multi-objective optimization strategies. Expert Systems, e13574.
      [Google Scholar]
    12. Dhiman, G., & Alghamdi, N. S. (2024). Smose: Artificial intelligence-based smart city framework using multi-objective and iot approach for consumer electronics application. IEEE Transactions on Consumer Electronics.
      [Google Scholar]
    13. Lan, K., Wang, D. T., Fong, S., Liu, L. S., Wong, K. K., & Dey, N. (2018). A survey of data mining and deep learning in bioinformatics. Journal of medical systems, 42, 1-20.
      [Google Scholar]
    14. Mirza, B., Wang, W., Wang, J., Choi, H., Chung, N. C., & Ping, P. (2019). Machine learning and integrative analysis of biomedical big data. Genes, 10(2), 87.
      [Google Scholar]
    15. Mittal, S., & Hasija, Y. (2020). Applications of deep learning in healthcare and biomedicine. Deep learning techniques for biomedical and health informatics, 57-77.
      [Google Scholar]
    Article Metrics
    Citations:

    Google Scholar
    0

    Crossref

    0

    Scopus

    0

    Web of Science

    0
    Article Access Statistics:
    Views: 100
    PDF Downloads: 10
    Publisher's Note
    IECE stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.
    Rights and permissions
    CC BY Copyright © 2024 by the Author(s). Published by IECE. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made.
    IECE Transactions on Machine Intelligence

    IECE Transactions on Machine Intelligence

    ISSN: request pending (Online) | ISSN: request pending (Print)

    Email: [email protected]

    Portico

    Portico

    All published articles are preserved here permanently:
    https://www.portico.org/publishers/iece/

    Copyright © 2024 Institute of Emerging and Computer Engineers Inc.