Guest Editors
Dr. Mukhriddin Mukhiddinov
Email: mmuhriddinm@gmai.com
Affiliation: Department of Computer Systems, Tashkent University of Information Technologies Named After Muhammad Al-Khwarizmi, Tashkent, 100084, Uzbekistan
Homepage:
Research Interests: deep learning, natural language processing, large language models, computer vision, neural network, transformers, visually impaired people, embedded systems
Dr. Oybek Djuraev
Email: odjuraev@gmail.com
Affiliation: Department of Communication and Digital Technologies, University of Management and Future Technologies, Tashkent, 100208, Uzbekistan
Homepage:
Research Interests: natural language processing, deep learning, neural network, computer vision
Summary
Recent advances in artificial intelligence have been largely driven by the development of large-scale models, particularly visual models and large language models (LLMs), which have shown remarkable capabilities across diverse tasks. Their ability to generalize across modalities and domains marks a paradigm shift in how intelligent systems are built and deployed.
This Special Issue aims to explore the integration and application of visual models and LLMs for solving complex, real-world problems across multiple domains. We welcome original research articles, reviews, and case studies that address novel methodologies, frameworks, and applications involving vision-language models, multimodal learning, and generalized AI systems. The issue will provide a platform for highlighting both theoretical advancements and practical implementations that push the boundaries of AI's adaptability and robustness.
Suggested Themes Include:
· Multimodal learning with vision and language models
· Generalized AI architectures and frameworks
· Applications of LLMs in robotics, healthcare, and smart systems
· Cross-modal retrieval and image captioning
· Zero-shot and few-shot learning with foundation models
· Safety, ethics, and interpretability of large-scale models
· Efficient training and deployment of vision-language models
Keywords
Large Language Models, Visual Models, Multimodal Learning, Foundation Models, Generalized AI, Vision-Language Integration, Zero-shot Learning, Artificial Intelligence Applications
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