Advances in Machine Intelligence: Past, Present, and Future

Gaurav Dhiman

doi:10.62762/TMI.2024.631844

Article Information

Published in ICCK Transactions on Machine Intelligence

Volume/Issue Volume 1, Issue 1, 2025

Pages 1-5

Cited by 3 (Crossref) 4 (Scopus)

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

Data Availability Statement

Not applicable.

Funding

This work was supported without any funding.

Conflicts of Interest

The author declares no conflicts of interest.

Ethical Approval and Consent to Participate

Not applicable.

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Cited By (3)

Yiding Zhang, Zonghuan Han, Jian Chen, Chang Xu, Yuanze Qin, Bo Wang, Xiaoshuan Zhang, Lingxian Zhang. CropGPT: A large multimodal model for precise and explainable diagnosis of crop pests and diseases. Journal of Industrial Information Integration, 2026 , 51 .
[CrossRef]
Bin Sun. Lightweight GIS-based large-scale urban fire spread simulation method. Journal of Industrial Information Integration, 2026 , 50 .
[CrossRef]
Shubhani Aggarwal, Arzoo Miglani, Norah Saleh Alghamdi, Gaurav Dhiman. Resilient and decentralized demand-side management in smart grids using blockchain. Scientific Reports, 2026 , 16 (1).
[CrossRef]

* Citation data provided by Crossref Cited-by.

Cite This Article

APA Style

Dhiman, G. (2024). Advances in Machine Intelligence: Past, Present, and Future. ICCK Transactions on Machine Intelligence, 1(1), 1–5. https://doi.org/10.62762/TMI.2024.631844

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TY  - JOUR
AU  - Dhiman, Gaurav
PY  - 2024
DA  - 2024/12/31
TI  - Advances in Machine Intelligence: Past, Present, and Future
JO  - ICCK Transactions on Machine Intelligence
T2  - ICCK Transactions on Machine Intelligence
JF  - ICCK Transactions on Machine Intelligence
VL  - 1
IS  - 1
SP  - 1
EP  - 5
DO  - 10.62762/TMI.2024.631844
UR  - https://www.icck.org/article/abs/TMI.2024.631844
KW  - machine intelligence
KW  - past, present, and future
AB  - 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.
SN  - 3068-7403
PB  - Institute of Central Computation and Knowledge
LA  - English
ER  -

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@article{Dhiman2024Advances,
  author = {Gaurav Dhiman},
  title = {Advances in Machine Intelligence: Past, Present, and Future},
  journal = {ICCK Transactions on Machine Intelligence},
  year = {2024},
  volume = {1},
  number = {1},
  pages = {1-5},
  doi = {10.62762/TMI.2024.631844},
  url = {https://www.icck.org/article/abs/TMI.2024.631844},
  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},
  issn = {3068-7403},
  publisher = {Institute of Central Computation and Knowledge}
}

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Copyright © 2024 by the Author(s). Published by Institute of Central Computation and Knowledge. 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.

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