August 2026
Intermediate
480 pages
12h 34m
English
book
Artificial General Intelligence
by T. Saravanan, P. Preethi, Sumaya Sanober, N. Thillaiarasu, S. Balamurugan
Content preview from Artificial General Intelligence
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19Future of Artificial General Intelligence: Quantum Computing, Brain–Computer Interfaces, and AGI Evolution
Youddha Beer Singh1*, Aditya Dev Mishra2 and T. Saravanan3
1Department of Computer Science & Engineering, Galgotia College of Engineering and Technology, Greater Noida, UP, India
2School of Computer Science Engineering & Technology, Bennett University, Greater Noida, U.P., India
3GITAM School of Technology, GITAM (Deemed to be University), Bengaluru, India
Abstract
A fundamental change in machine intelligence involves achieving cognitive abilities comparable to those of humans across various fields. Artificial general intelligence (AGI) relies on groundbreaking advancements in evolutionary algorithms, brain–computer interfaces (BCIs), and quantum computing. The convergence of evolutionary algorithms, BCIs, and quantum computing is speeding up the progress of AGI. In this chapter, we have discussed how BCIs and quantum computing work together and also discussed their issues and problems. This chapter also discussed the evolutionary way for the development of AGI by utilizing BCIs and quantum computing. How to ensure that the AGI systems are implemented to guarantee that its objectives and human values are met and what implications will AGI have on human identification, privacy, and employment are discussed in this work. Also discussed are important problems and possible solution on how to deal by applying BCI and quantum computing and how evolutionary approaches are ...
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