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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM39825

Brain-Inspired Artificial Intelligence: Revolutionizing Computing and Cognitive Systems

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM39825

Volume:

8 |

12 |

Dec 2024

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM39825

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

VVG

VISHNUPRIYA V G

JJ

JWALA JOSE

PJ

PRINCE JOY

SS

SRITHA S

GKS

GIBI K S

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Abstract

Brain-inspired artificial intelligence (AI) is a rapidly evolving field that seeks to model computational systems after the structure, processes, and functioning of the human brain. By drawing from neuroscience and cognitive science, brain-inspired AI aims to improve the efficiency, scalability, and adaptability of machine learning algorithms. This paper explores the key technologies and advancements in the realm of brain-inspired AI, including neural networks, neuromorphic hardware, brain-computer interfaces, and algorithms inspired by biological learning mechanisms. Additionally, we will analyze the challenges and future opportunities in achieving more brain-like cognitive systems. The integration of these technologies promises a paradigm shift in AI research, bringing us closer to artificial general intelligence (AGI) while creating more energy-efficient and resilient systems.

KEYWORDS

Brain-inspired AI Neural Networks Neuromorphic Computing Spiking Neural Networks Artificial General Intelligence Brain-Computer Interfaces Cognitive Architectures.

Cite This Article

VISHNUPRIYA V G, JWALA JOSE, PRINCE JOY, SRITHA S, GIBI K S, "Brain-Inspired Artificial Intelligence: Revolutionizing Computing and Cognitive Systems," International Journal of Scientific Research in Engineering and Management, vol. 8, no. 12, Dec 2024. https://doi.org/10.55041/IJSREM39825

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Publication Date

12/16/2024

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Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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