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Exploring future opportunities of brain-inspired artificial intelligence

Record Type:	Electronic resources : Monograph/item
Title/Author:	Exploring future opportunities of brain-inspired artificial intelligence/ Madhulika Bhatia, Tanupriya Choudhury, Bhupesh Kumar Dewangan.
other author:	Bhatia, Madhulika,
Published:	Hershey, Pennsylvania :IGI Global, : 2023.,
Description:	1 online resource (215 p.) :ill. (chiefly col.)
[NT 15003449]:	Chapter 1. Application of brain-inspired computing for daily assistance -- Chapter 2. Visualizing neuroscience through AI: a systematic review -- Chapter 3. Study and innovative approach of deep learning algorithms and architecture -- Chapter 4. Enhancing brain imaging using super resolution: challenges and benefits -- Chapter 5. Overview on incorporating computer-aided diagnosis systems for dementia: early detection of Alzheimer's disease -- Chapter 6. Ambient assisted living (AAL) systems to help older people -- Chapter 7. Brain-inspired AI to a symbiosis of human intelligence and artificial intelligence -- Chapter 8. Knowledge representation-based hemispheric specialization of the brain -- Chapter 9.Data analysis tools for neural data cognitive computing: neural-inspired algorithms -- Chapter 10. Performance analysis of pre-trained convolutional models for brain tumor classification.
Subject:	Neurosciences - Data processing. -
Online resource:	http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-6684-6980-4
ISBN:	9781668469828 (electronic bk.)

Exploring future opportunities of brain-inspired artificial intelligence
Exploring future opportunities of brain-inspired artificial intelligence[electronic resource] /Madhulika Bhatia, Tanupriya Choudhury, Bhupesh Kumar Dewangan. - Hershey, Pennsylvania :IGI Global,2023. - 1 online resource (215 p.) :ill. (chiefly col.)

Includes bibliographical references and index.

Chapter 1. Application of brain-inspired computing for daily assistance -- Chapter 2. Visualizing neuroscience through AI: a systematic review -- Chapter 3. Study and innovative approach of deep learning algorithms and architecture -- Chapter 4. Enhancing brain imaging using super resolution: challenges and benefits -- Chapter 5. Overview on incorporating computer-aided diagnosis systems for dementia: early detection of Alzheimer's disease -- Chapter 6. Ambient assisted living (AAL) systems to help older people -- Chapter 7. Brain-inspired AI to a symbiosis of human intelligence and artificial intelligence -- Chapter 8. Knowledge representation-based hemispheric specialization of the brain -- Chapter 9.Data analysis tools for neural data cognitive computing: neural-inspired algorithms -- Chapter 10. Performance analysis of pre-trained convolutional models for brain tumor classification.

"Our Book mainly focus on convergence of artificial intelligence with Brain inspired intelligence. Applications of Artificial Intelligence in Brain simulation are countless. Brain simulation , recording and analysis of Brain signalsand applying AI in it will be accommodating all domain of Artificial Intelligence and Brain Intelligence and how it can be related and utilized for many applications. The book will provide rich content for researchers and Scholars to explore new dimensions that can be implemented"--

ISBN: 9781668469828 (electronic bk.)Subjects--Topical Terms:

926188
Neurosciences
--Data processing.Index Terms--Genre/Form:

542853
Electronic books.

LC Class. No.: QP357.5 / .E97 2023e

Dewey Class. No.: 612.80285/63

Exploring future opportunities of brain-inspired artificial intelligence
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245 0 0 $a Exploring future opportunities of brain-inspired artificial intelligence $h [electronic resource] / $c Madhulika Bhatia, Tanupriya Choudhury, Bhupesh Kumar Dewangan.
260 $a Hershey, Pennsylvania : $b IGI Global, $c 2023.
300 $a 1 online resource (215 p.) : $b ill. (chiefly col.)
504 $a Includes bibliographical references and index.
505 0 $a Chapter 1. Application of brain-inspired computing for daily assistance -- Chapter 2. Visualizing neuroscience through AI: a systematic review -- Chapter 3. Study and innovative approach of deep learning algorithms and architecture -- Chapter 4. Enhancing brain imaging using super resolution: challenges and benefits -- Chapter 5. Overview on incorporating computer-aided diagnosis systems for dementia: early detection of Alzheimer's disease -- Chapter 6. Ambient assisted living (AAL) systems to help older people -- Chapter 7. Brain-inspired AI to a symbiosis of human intelligence and artificial intelligence -- Chapter 8. Knowledge representation-based hemispheric specialization of the brain -- Chapter 9.Data analysis tools for neural data cognitive computing: neural-inspired algorithms -- Chapter 10. Performance analysis of pre-trained convolutional models for brain tumor classification.
520 $a "Our Book mainly focus on convergence of artificial intelligence with Brain inspired intelligence. Applications of Artificial Intelligence in Brain simulation are countless. Brain simulation , recording and analysis of Brain signalsand applying AI in it will be accommodating all domain of Artificial Intelligence and Brain Intelligence and how it can be related and utilized for many applications. The book will provide rich content for researchers and Scholars to explore new dimensions that can be implemented"-- $c Provided by publisher.
650 0 $a Neurosciences $x Data processing. $3 926188
650 0 $a Computational neuroscience. $3 610819
650 0 $a Artificial intelligence. $3 516317
650 0 $a Soft computing. $3 563033
655 4 $a Electronic books. $2 lcsh $3 542853
700 1 $a Bhatia, Madhulika, $d 1984-. $3 3675619
700 1 $a Choudhury, Tanupriya. $3 3501188
700 1 $a Dewangan, Bhupesh, $d 1983-. $3 3675620
710 2 $a IGI Global. $3 1361470
856 4 0 $u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-6684-6980-4