Global Journal of Computer Science and Technology, D: Neural & Artificial Intelligence, Volume 23 Issue 2

developing story to harness its power for advancement and human improvement. The assessment of AI's difficulties in various fields, emphasizes the necessity for industry-specific solutions. Significant themes include the human- technology balance, bias mitigation, ethical considerations, privacy issues, and privacy concerns. This analysis emphasizes the significance of responsible AI deployment and stresses that the full promise of technology can only be realized by carefully considering its implications. Stakeholders may use AI's revolutionary power for innovation and efficiency while preserving moral norms and societal well-being by tackling these issues as a group. In order to negotiate its difficulties and maximize its advantages, the process of integrating AI across industries is continuous. R eferences R éférences R eferencias 1. James V. Stone, “Artificial Intelligence Engines: A Tutorial Introduction to the Mathematics of Deep Learning”, 2019. 2. Peter Norvig and Stuart J. Russell, “Artificial Intelligence: A Modern Approach”, 1995. 3. Nick Bostrom, “Superintelligence: Paths, Dangers, Strategies”, 2014. 4. Ethem Alpaydın, “Machine Learning: The New AI”, 2016. 5. H. James R. Wilson and Paul Daugherty, “Human + Machine: Reimagining Work in the Age of AI”, 2018 6. Tom Taulli, “Artificial Intelligence Basics: A Non- Technical Introduction”, 2019. 7. Kevin Warwick, “Artificial Intelligence: The Basics”, 2011. 8. John Mueller and Luca Massaron, “Artificial Intelligence for Dummies”, 2018. 9. Parag Mahajan, “Artificial Intelligence in Healthcare: AI, Machine Learning, and Deep and Intelligent Medicine Simplified for Everyone”, 2019. 10. Christopher Bishop, “Pattern Recognition and Machine Learning”, 2016. 11. Osondu Oguike, “A First Course in Artificial Intelligence”, 2021. 12. Andrew Barto and Richard S. Sutton, “Reinforcement Learning: An Introduction”, 2018. 13. Stuart Russell, Peter Norvig, “Artificial Intelligence: A Modern Approach”, 3rd Ed., Prentice Hall, 2010. 14. Elaine Rich and Kevin Knight, “Artificial Intelligence”, Tata McGraw Hill, 3rd Edition, 2018. 15. Trivedi M.C., “A Classical Approach to Artificial Intelligence”, Khanna Publishing House, Delhi, 2018. 16. Saroj Kaushik, “Artificial Intelligence”, Cengage Learning India, 2011. 17. https://nptel.ac.in/courses/106105077 18. https://nptel.ac.in/courses/106106126 19. https://aima.cs.berkeley.edu 20. Giuseppe Bonaccorso, “Machine Learning Algorithms”, 2nd Edition, Packt, 2018. 21. Tom Mitchel “Machine Learning”, Tata McGraW Hill, 2017. 22. Abhishek Vijavargia “Machine Learning using Python”, BPB Publications, 1st Edition, 2018. 23. Reema Thareja “Python Programming”, Oxford Press, 2017. 24. Yuxi Liu, “Python Machine Learning by Example”, 2nd Edition, PACT, 2017. 25. https://www.guru99.com/machine-learning-tutorial. htm 26. https://www.tutorialspoint.com/machine_learning_wi th_python/index.htm 27. Sowmya Vajjala, Bodhisattwa Majumder, Anuj Gupta & Harshit Surana “Practical Natural Language Processing: A Comprehensive Guide to Building Real world NLP Systems”, O’Reilly Media, Inc., 1st Edition, 2020. 28. James Allen, “Natural Language Understanding”, Bejamin Cummings, 2nd edition, 1995. 29. Tanveer Siddiqui, U.S. Tiwary, “Natural Language Processing and Information Retrieval”, Oxford University Press, 2008. 30. https://nptel.ac.in/courses/106101007/ 31. http://www.cs.colorado.edu/~martin/sp2.html 32. https://web.standford.edu/~jurafsky/sp3/ 33. Stuart J. Russell, “Human Compatible”, 2019. 34. Melanie Mitchell, “Artificial Intelligence: A Guide for Thinking Humans”, 2020. 35. Adelyn Zhou, Mariya Yao, and Marlene Jia, “Applied Artificial Intelligence: A Handbook for Business Leaders”, 2018. 36. Pedro Domingos, “The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World”, 2015. 37. https://www.britannica.com/technology/artificial- intelligence 38. https://en.wikipedia.org/wiki/Artificial_intelligence 39. https://www.techtarget.com/searchenterpriseai/defin ition/AI-Artificial-Intelligence 40. https://www.ibm.com/topics/artificial-intelligence 41. https://builtin.com/artificial-intelligence 42. Tom M. Mitchell, "Machine Learning ",MacGraw Hill, 1997. 43. LiMin Fu, “Neural Networks in Computer Intelligence”, McGraw-Hill edition, 1994. 44. Umberto Michelucci “Applied Deep Learning. A Case-based Approach to Understanding Deep Neural Networks” Apress, 2018. 45. https://onlinecourses.nptel.ac.in/noc18_cs41/ 46. https://onlinecourses.nptel.ac.in/noc22_cs22/ 47. https://onlinecourses.nptel.ac.in/noc19_cs85/ 48. Giancarlo Zaccone, Md. RezaulKarim, Ahmed Menshawy "Deep Learning with TensorFlow: Explore neural networks with Python", Packt Publisher, 2017. © 2023 Global Journals Global Journal of Computer Science and Technology Volume XXIII Issue II Version I 35 ( )D Year 2023 Journey of Artificial Intelligence Frontier: A Comprehensive Overview