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

5. Employment: Thanks to the application of artificial intelligence, finding work is now straightforward for job seekers and companies. Artificial intelligence (AI) is already being employed in the job market, where tight regulations and algorithms automatically reject a CV from an applicant if it does not meet the requirements of the organization. In the future, most AI-enabled applications will likely control the hiring process, from marking written interviews to conducting phone interviews. Various AI programs, like Rezi, Jobseeker, etc., are assisting job searchers in creating outstanding resumes and locating the finest positions that match their skills. 6. Recommendation Systems: The "rating" or "preference" that a user would assign to anything is predicted by a recommendation system. For example, recommendation algorithms are used to create playlists for video and music services, suggest products for online shops, and propose content for social networking platforms and open web content. 7. Web Feeds and Posts: Web feeds also utilize machine learning, for example, to choose which posts appear in social network feeds. Machine learning is used in many different sorts of social media analysis, and there is a study into its application for (semi) automated labeling, augmentation, and correction of online disinformation and associated filter bubbles. 8. Targeted Advertising and Increasing Internet Engagement: Web adverts are targeted using AI to reach people most likely to click or interact with them. Choosing exciting material for the viewer is also utilized to lengthen the time spent on a website. It can extrapolate or forecast customer behavior based on their digital traces. Online gaming organizations use AI to enhance client targeting. Personality analysis, in addition to more conventional social demographics or behavioral targeting, AI models often include psychological targeting. AI has been applied to tailor offers and shopping possibilities. 9. Virtual Assistants: AI is used by intelligent personal assistants to comprehend many natural language requests in addition to simple instructions. The popular AIs Siri from Apple, Alexa from Amazon, and ChatGPT from OpenAI are more recent examples. 10. Language Translation: Artificial intelligence has been used to translate text and spoken language automatically. Additionally, efforts are being made in research and development to decipher and carry out animal communication. No system can fully automate high-quality machine translation of the unlimited text to the ideal, yet several fully automated methods can generate acceptable results. If the domain is constrained and regulated, machine translation quality is significantly increased. As a result, it is possible to employ machine translation to expedite and streamline translations and generate subpar but valuable low-cost or ad-hoc translations. 11. Facial Recognition and Image Labeling: Systems for facial recognition that use AI have a 99% accuracy rate. Examples include FaceID from Apple and Face Unlock from Android, both of which are used to protect mobile devices. Google has employed image labeling to find objects in pictures and enable image-based searches. It has also been shown that image labeling may provide speech to describe images to blind persons. 12. Games: Since the 1950s, games have effectively used AI's capabilities. AIs have achieved superhuman achievements in various games in the twenty-first century, including chess (Deep Blue) and Jeopardy! (Watson), go (AlphaGo), poker (Pluribus and Cepheus), e-sports (StarCraft), and general game playing (AlphaZero and MuZero). Most chess programs no longer use hand-coded algorithms; they now use AI. Poker is an imperfect-information game, unlike go or chess; hence a program that plays poker needs to be able to reason under uncertainty. Without knowing the rules, most game players rely on feedback from the game system. 13. Economic and Social Challenges: An ITU effort called AI for Good helps organizations use AI to address some of the most significant economic and social problems in the world. ToFornstance, the University of Southern California established the Centre for Artificial Intelligence in Society. To combat issues like homelessness Researchers at Stanford utilize AI to identify high-poverty areas by analyzing satellite pictures. 14. Agriculture : AI in agriculture has aided farmers in locating regions that require irrigation, fertilization, application of pesticides, or a higher yield. AI is used by agronomists in their research and development. AI has been used to control agricultural robots, monitor soil moisture, anticipate when crops like tomatoes will ripen, and do predictive analytics. Classify pig emotions in livestock, detect illnesses and pests, automate greenhouses, and conserve water. 15. Cyber security: NeCyber security firms are adopting neural networks, machine learning, and natural language processing to enhance their systems. Among the uses of AI in cyber security are: • Network security: By Machine learning enhances intrusion detection systems extending the search beyond previously detected threats; Endpoint security: By being familiar with typical malware behaviors, attacks like ransomware can be prevented. • Application security: can assist in defending against threats such as distributed denial-of-service, SQL injection, cross-site scripting, and server-side request forgery. © 2023 Global Journals Global Journal of Computer Science and Technology Volume XXIII Issue II Version I 23 ( )D Year 2023 Journey of Artificial Intelligence Frontier: A Comprehensive Overview