REVIEW OF ARTIFICIAL INTELLIGENT (AI) WORK AS A HUMAN BRAIN

Registration ID: IJNRD_185250

Published ID: IJNRD2212247

: http://doi.one/10.1729/Journal.32511

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Bhushan Pandit

Artificial Neural Networks, Artificial Intelligence, Brain-like artificial intelligence, cognitive automation, machine perception, recognition, and decision-making

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.

Published Paper   E-Certificate

Bhushan Pandit (December-2022). REVIEW OF ARTIFICIAL INTELLIGENT (AI) WORK AS A HUMAN BRAIN. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 7(12), c385-c394. http://doi.one/10.1729/Journal.32511

Volume 7 Issue 12, December-2022

Pages : c385-c394

Paper Reg. ID: IJNRD_185250

Published Paper Id: IJNRD2212247

Research Area: Commerce

Author Type: Indian Author

Country: Ghodasar, Ahmedabad - 380050, GUJARAT, India

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Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2212247

Crossref DOI: http://doi.one/10.1729/Journal.32511

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

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