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Generative AI is a new branch of artificial intelligence, which creates fresh content using neural networks and machine learning methods. Systems of generative AI can generate music, images, text, speech, and other types of content by finding new styles in huge databases. The automation of tedious tasks through the creation of personalized content, and the improvement of accuracy in difficult tasks makes generative AI technology to transform a variety of industries, including gaming, advertising, and healthcare. There are many types of generative AI models. Each has pros and cons of its own. Despite being a relatively young technology, generative AI has many potential applications that make it a fascinating field to research. More research, growth, and advancement in the future may be seen. Future potential uses for generative AI include improving cybersecurity by identifying and preventing cyberattacks, creating human-interactive virtual assistants, and creating intelligent robots that can do challenging tasks in various industries. As generative AI continues to be developed, we should expect to see increasingly sophisticated applications in the years to come, which will open up new opportunities for growth across numerous industries.
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Ahmad Al-Dahoud
Al-Zaytoonah University of Jordan
Mohamed Fezari
Badji Mokhtar-Annaba University
Ali Al-Dahoud
Al-Zaytoonah University of Jordan
WSEAS TRANSACTIONS ON COMPUTER RESEARCH
Badji Mokhtar-Annaba University
Al Ain University
Al-Zaytoonah University of Jordan
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Al-Dahoud et al. (Wed,) studied this question.
synapsesocial.com/papers/68e59566b6db64358753088c — DOI: https://doi.org/10.37394/232018.2024.12.40