Proceedings of the International Conference on Advancements in Computing Technologies and Artificial Intelligence (COMPUTATIA-2025)

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Bridging the Gap Between Biological and Artificial Intelligence: A Review

Authors
Athar Ahmed1, *
1Department of Computer Science and Engineering, Vivekananda Global University, Jaipur, India
*Corresponding author. Email: athar1916@hotmail.com
Corresponding Author
Athar Ahmed
Available Online 19 April 2025.
DOI
10.2991/978-94-6463-700-7_40How to use a DOI?
Keywords
Biological; Artificial Intelligence; Machine Learning; Disease; Performance
Abstract

The combination of biotechnology and computer science gives a unique chance to develop the concept of intelligence and improve algorithms. This review aims to present the attempts made in this objective in an interdisciplinary manner, based on assembling concepts from these domains, including neural mechanisms, spiking neural networks, and brain-inspired architectures. Examining previous works, the paper presents findings that include, but are not limited to, improved neural emulation, predictive modeling, and efficient AI architectures. Comparing the methodologies and results, patterns and issues such as ability to scale, ethics, and energy consumption are identified. Furthermore, the review provides an outlook on open research questions, focusing on the possibility of enhancing an even greater fusion of biology and electronics by using neuromorphic chips or brain-computer interfaces. On that basis, this systematic review organizes the data and delivers specific findings and suggestions for enhancing innovation in both disciplines. In the end, its goal is to call for combined action and to advance people’s awareness towards intelligent consensus to blend the biological and artificial worlds.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial 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 license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Advancements in Computing Technologies and Artificial Intelligence (COMPUTATIA-2025)
Series
Advances in Intelligent Systems Research
Publication Date
19 April 2025
ISBN
978-94-6463-700-7
ISSN
1951-6851
DOI
10.2991/978-94-6463-700-7_40How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial 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 license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Athar Ahmed
PY  - 2025
DA  - 2025/04/19
TI  - Bridging the Gap Between Biological and Artificial Intelligence: A Review
BT  - Proceedings of the International Conference on Advancements in Computing Technologies and Artificial Intelligence (COMPUTATIA-2025)
PB  - Atlantis Press
SP  - 507
EP  - 516
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-700-7_40
DO  - 10.2991/978-94-6463-700-7_40
ID  - Ahmed2025
ER  -