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IJNRD
INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
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Impact Factor : 8.76

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Paper Title: REVIEW OF ARTIFICIAL INTELLIGENT (AI) WORK AS A HUMAN BRAIN
Authors Name: Bhushan Pandit
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IJNRD_185250
Published Paper Id: IJNRD2212247
Published In: Volume 7 Issue 12, December-2022
DOI: http://doi.one/10.1729/Journal.32511
Abstract: The fields of neuroscience and artificial intelligence (AI) have a long and interweaved history. In recent times, however, communication and collaboration between the two fields has less conventional. In this article, we discuss that better understanding of biological brains could play a vital role in building intelligent machines. However, we survey that historical interactions between the AI and neuroscience fields have emphasize the current advances in AI that have been inspired by the study of neural computation in humans and other animals. We conclude that by highlighting themes that have been the key for advancing the future research in both the fields. Last decades, automation technology has made a serious progress and today systematizes a wide range of tasks having before needed human physical and mental abilities. Nonetheless, a number of important problem domains remain that cannot yet be handled by our current machines and computers. A few prominent examples are applications involving “real-world” perception, situation assessment, and decision-making tasks. Recently, researchers have suggested to use the concepts of “Brain-Like Artificial Intelligence”, i.e. concepts inspired by the functioning principles of the human or animal brain, for further advances these are the problems of domain. This article discusses that the potential of Brain-Like Artificial Intelligence for innovative automation solutions and reviews a number of approaches developed together with the ICT intellectual automation group of the Vienna University of Technology targeting the topics of “real-world” perception, situation assessment, and decision-making for applications in building the automation environments and autonomous agents. Additionally, it is demonstrated by a concrete example how such developments can also be contributed for an advancement of the state of the art in the field of brain sciences. In modern years, several studies have been provided insight on the functioning of the brain which consists of neurons and form networks via interconnection among them by synapses. Neural networks are formed by interconnected systems of neurons, and mainly there are two types, the Artificial Neural Network (ANNs) and Biological Neural Network (interconnected nerve cells). The ANNs are computationally influenced by human neurons and are used in model neural systems. The reasoning foundations of ANNs have been useful in variance detection, in areas of medicine such as instant physician, electronic noses, pattern recognition, and model biological systems. Advancing research in artificial intelligence are used in the architecture of the human brain seeks to model systems by studying the brain rather than looking towards the technology for brain models. This study explores the concept of ANNs as a simulator of the biological neuron, and its area of applications. It also explores why brain-like intelligence is needed and how it differs from the computational framework by comparing the neural networks to contemporary computers and their modern day implementation.
Keywords: Artificial Neural Networks, Artificial Intelligence, Brain-like artificial intelligence, cognitive automation, machine perception, recognition, and decision-making
Cite Article: "REVIEW OF ARTIFICIAL INTELLIGENT (AI) WORK AS A HUMAN BRAIN", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.7, Issue 12, page no.c385-c394, December-2022, Available :http://www.ijnrd.org/papers/IJNRD2212247.pdf
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ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publication Details: Published Paper ID:IJNRD2212247
Registration ID: 185250
Published In: Volume 7 Issue 12, December-2022
DOI (Digital Object Identifier): http://doi.one/10.1729/Journal.32511
Page No: c385-c394
Country: Ghodasar, Ahmedabad - 380050, GUJARAT, India
Research Area: Commerce
Publisher : IJ Publication
Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2212247
Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2212247
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
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