Multimodal Generative AI

Prof. Akansha Singh, Professor at the School of Computer Science and Engineering, Bennett University, Greater Noida, boasts a comprehensive academic background with a B.Tech, M.Tech, and Ph.D. in Computer Science. Her doctoral studies, conducted at the prestigious IIT Roorkee, were focused on the cutting-edge fields of image processing and machine learning. A prolific author and scholar, Dr. Singh has contributed over 100 research papers and penned several books, alongside a multitude of conference papers. Her editorial expertise is recognized by leading publishers such as Elsevier, Taylor and Francis, and Wiley, where she has edited books on a variety of emerging topics. Her research interests are diverse and influential, spanning image processing, remote sensing, the Internet of Things (IoT), Blockchain, and machine learning. Prof. Singh’s work in these areas not only advances the field of computer science but also significantly contributes to the broader scientific and technological community.Prof. Dr. Krishna Kant Singh, currently the esteemed Director of Delhi Technical Campus in Greater Noida, India, is a highly experienced educator and researcher in the field of engineering and technology. Dr. Singh is a B.Tech and M.Tech degree, a Postgraduate Diploma in Machine Learning and Artificial Intelligence from IIIT Bangalore, a Master of Science in Machine Learning and Artificial Intelligence from Liverpool John Moores University, United Kingdom, and a Ph.D. from IIT Roorkee. Currently serving as the Director of Delhi Technical Campus in Greater Noida, Dr. Singh has made significant contributions to the academic and research community. With over 18 years of teaching experience, he has played a vital role in educating and mentoring future professionals.  Dr. Singh’s scholarly contributions are remarkable, with over 150 research papers published in prestigious Scopus and SCIE indexed journals. His commitment to knowledge dissemination is further evidenced by his authorship of 25 technical books, which serve as significant resources in the field of engineering and technology. Dr. Singh’s dedication to his field is evident through his involvement in various capacities, from research and writing to editorial responsibilities. His work not only advances the field of engineering and technology but also inspires future generations of engineers and researchers.

• Chapter 1. Introduction to Multimodal Generative AI.- Chapter 2. ChatGPT and BERT: Comparative Analysis of Various Natural Language Processing Applications.- Chapter 3. Large Language Model on Multi-Modal Data.- Chapter 4.  Adaptive Learning Technologies: Navigating the Road from Hype to Reality.- Chapter 5. Generative Artificial Intelligence in Visual Content: A Review of the Influence on Consumer Perception and Perspective.- Chapter 6. Text-to-Image Synthesis: Techniques and Applications.- Chapter 7. Image-to-Text Generation: Bridging Visual and Linguistic Worlds.- Chapter 8. Sustainability in the Metaverse: Challenges, Implications, and Potential Solutions.- Chapter 9. Transcendent Artificial Intelligence in Education.- Chapter 10. Chat GPT in Academia and Research - A Comprehensive Review of Integrating AI in Higher Education.- Chapter 11. Exploring Multimodal Hate Speech Detection Using Machine Learning and Deep Learning Models.- Chapter 12. Multimodal Generative AI for People with Disabilities.- Chapter 13.                Single-Modality to Multimodality: The Evolutionary Trajectory of Artificial Intelligence in Integrating Diverse Data Streams for Enhanced Cognitive Capabilities.- Chapter 14. Interfacing Multimodal AI with IoT: Unlocking New Frontiers.-Chapter 15. Enhancing Safety and Reliability in VANETs for Autonomous Vehicles by M-XAI (Multi Model- Explainable-AI) .- Chapter 16. Future Directions In Multimodal Genrative AI.