Applying mechanisms and principles of human intelligence and converging the brain and artificial intelligence (AI) is currently a research trend. The applications of AI in brain simulation are countless. Brain-inspired intelligent systems will improve next-generation information processing by applying theories, techniques, and applications inspired by the information processing principles from the brain.

Exploring Future Opportunities of Brain-Inspired Artificial Intelligence focuses on the convergence of AI with brain-inspired intelligence. It presents research on brain-inspired cognitive machines with vision, audition, language processing, and thinking capabilities. Covering topics such as data analysis tools, knowledge representation, and super-resolution, this premier reference source is an essential resource for engineers, developers, computer scientists, students and educators of higher education, librarians, researchers, and academicians.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

Ambient Assisted Living (AAL)
Brain Imaging Enhancement
Brain Tumor Classification
Data Analysis Tools
Deep Learning Algorithms
Knowledge Representation
Neural Data Cognitive Computing
Neuroscience Visualization
Performance Analysis
Pre-Trained Convolutional Models
Super Resolution

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Editor/Author Biographies

Madhulika Bhatia is a professor at Amity University, with an interest in the areas of Data Visualization, Knowledge Engineering, and Spotting Data Points with Artificial Intelligence.

Tanupriya Choudhury is a highly accomplished individual with an impressive academic and professional background. He holds a bachelor’s degree in CSE from West Bengal University of Technology, Kolkata, India; a master’s Degree in CSE from Dr. MGR University, Chennai, India; and a Ph.D. degree, which he received in 2016. In addition to his educational qualifications, Dr. Choudhury has fourteen years of experience teaching and conducting research related to Human computing, Soft computing, Cloud Computing Data Mining, etc., making him an ideal candidate for the Senior Associate Professor position at UPES Dehradun's School CS Cluster of Informatics. Recently Dr. Tanupriya was honored with the Global Outreach Education Award for Excellence best young researcher award 2018 (GOECA). This prestigious award recognizes his contribution towards advancing knowledge within this field through various domestically and internationally conferences, resulting in over 250 published papers since then! Furthermore, he has filed 25 patents to date and received 26 copyrights from MHRD due to the development of his own software programs. His achievements speak volumes about his dedication to furthering technology-related research while inspiring others around him by demonstrating that hard work leads to success! He has been associated with many conferences throughout India as a TPC member, session chair, etc. He is a lifetime member of IETA, a senior member of IEEE, and a member of IET(UK) and other renowned technical societies. He is associated with Corporate and a Technical Adviser of Deetya Soft Pvt. Ltd. Noida, IVRGURU, Mydigital360, etc. He holds the post of Honorary Secretary in IETA (Indian Engineering Teacher’s Association-India), He is also holding the Senior Advisor Position in INDO-UK Confederation of Science, Technology and Research Ltd., London, UK, and International Association of Professional and Fellow Engineers-Delaware-USA.

Bhupesh Kumar Dewangan completed Ph.D. in computer science and engineering and working as an Associate Professor in the Department of Computer Science and Engineering, at the OP Jindal University Raigarh, India, Bachelor of Technology from Pandit Ravi Shankar Shukla University (State University), Raipur and Master of Technology from Chhattisgarh Swami Vivekananda Technical University (State Technical University), Bhilai in computer science and engineering. He has more than 40 research publications in various international journals and conferences with SCI/SCOPUS/UGC indexing. He has three Indian patents on Cloud computing and resource scheduling. His research interests are in Autonomic Cloud Computing, Resource Scheduling, Software Engineering, and Testing, Image processing, and Object detection. He is a member of various organizations like ISTE, IAPFE, etc. Currently, he is editor in special issue journals of Inderscience & IGI publication house, and editor/author of two books of Springer & Taylor and Francis publication house.

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