Vision Language Models Next Generation (16 results)
Language: English
Published by Independently published, 2026
Series: Book 3 of 5 - Industrial, Robotics & Digital Infrastructure Engineering Series
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Language: English
Published by Independently Published Jun 2026, 2026
Series: Book 3 of 5 - Industrial, Robotics & Digital Infrastructure Engineering Series
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Taschenbuch. Condition: Neu. Neuware - The AI Revolution Has Reached the Physical WorldVision-Language-Action Models is the definitive technical guide to the most consequential development in modern robotics: foundation models that understand natural language, perceive unstructured 3D environments, and execute complex manipulati…on tasks without task-specific retraining. Written specifically for robotics engineers, AI researchers, and technical leaders deploying physical AI systems, this comprehensive guide covers VLA models from core mathematical architecture to real-world production deployment.What You will Master: - Advanced VLA Architectures: Learn how transformers integrate multi-modal vision, language tokens, and high-frequency action generation.- Landmark Model Deep-Dives: Step-by-step breakdowns of Google DeepMind's RT-2, Physical Intelligence's Pi0, OpenVLA, and Action Chunking with Transformers (ACT).- Dexterous Manipulation: Master diffusion and flow matching approaches for precise, high-dimensional robotic control.- Sim-to-Real Transfer: Leverage physics engines, domain randomization, and neural rendering to train robust models in simulation.- Humanoid Robot Control: Understand whole-body VLA policies for humanoid walking, balance, and dexterous tool manipulation.- Production Deployment: Bridge the gap between research and the factory floor with reliable, low-latency, and safe VLA pipelines.Whether you are developing automated sorting systems for logistics hubs or building control software for the next generation of humanoid robots, this book provides the exact technical depth, architectures, and practical troubleshooting steps required to build physical AI systems that work in the real world. Scroll up and secure your copy to master the future of embodied AI today.
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Paperback. Condition: new. Paperback. Artificial intelligence (AI) is evolving rapidly, moving from predictive systems toward a new era dominated by generative technologies. Among the most influential advances are language models, which have expanded into diverse forms capable of addressing increasingly complex and domain-specif…ic challenges. One of the most transformative developments is the emergence of vision language models (VLMs), which integrate visual and textual understanding to enable richer forms of analysis and interaction. By learning relationships between images and text through large-scale training, these models open new possibilities for applications that require deeper contextual interpretation of visual data. In healthcare, VLMs are particularly promising, supporting innovations such as visual question answering, automated medical report interpretation, and enhanced diagnostic and analytical capabilities. Vision Language Models for Next-Generation Healthcare provides one of the first comprehensive explorations of VLMs in healthcare, highlighting how their multimodal capabilities can transform diagnostics, clinical decision-making, and patient care. By combining insights from computer science, biomedical engineering, and clinical practice, this book offers a unified reference on VLMs tailored for healthcare. Covering topics such as augmented report generation, radiology, and workflow intelligence, this book is a critical emerging resource for graduate and doctoral students, computer scientists, biomedical engineers, healthcare informatics, medical researchers, and more. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Paperback. Condition: new. Paperback. Artificial intelligence (AI) is evolving rapidly, moving from predictive systems toward a new era dominated by generative technologies. Among the most influential advances are language models, which have expanded into diverse forms capable of addressing increasingly complex and domain-specif…ic challenges. One of the most transformative developments is the emergence of vision language models (VLMs), which integrate visual and textual understanding to enable richer forms of analysis and interaction. By learning relationships between images and text through large-scale training, these models open new possibilities for applications that require deeper contextual interpretation of visual data. In healthcare, VLMs are particularly promising, supporting innovations such as visual question answering, automated medical report interpretation, and enhanced diagnostic and analytical capabilities. Vision Language Models for Next-Generation Healthcare provides one of the first comprehensive explorations of VLMs in healthcare, highlighting how their multimodal capabilities can transform diagnostics, clinical decision-making, and patient care. By combining insights from computer science, biomedical engineering, and clinical practice, this book offers a unified reference on VLMs tailored for healthcare. Covering topics such as augmented report generation, radiology, and workflow intelligence, this book is a critical emerging resource for graduate and doctoral students, computer scientists, biomedical engineers, healthcare informatics, medical researchers, and more. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Hardcover. Condition: new. Hardcover. Artificial intelligence (AI) is evolving rapidly, moving from predictive systems toward a new era dominated by generative technologies. Among the most influential advances are language models, which have expanded into diverse forms capable of addressing increasingly complex and domain-specif…ic challenges. One of the most transformative developments is the emergence of vision language models (VLMs), which integrate visual and textual understanding to enable richer forms of analysis and interaction. By learning relationships between images and text through large-scale training, these models open new possibilities for applications that require deeper contextual interpretation of visual data. In healthcare, VLMs are particularly promising, supporting innovations such as visual question answering, automated medical report interpretation, and enhanced diagnostic and analytical capabilities. Vision Language Models for Next-Generation Healthcare provides one of the first comprehensive explorations of VLMs in healthcare, highlighting how their multimodal capabilities can transform diagnostics, clinical decision-making, and patient care. By combining insights from computer science, biomedical engineering, and clinical practice, this book offers a unified reference on VLMs tailored for healthcare. Covering topics such as augmented report generation, radiology, and workflow intelligence, this book is a critical emerging resource for graduate and doctoral students, computer scientists, biomedical engineers, healthcare informatics, medical researchers, and more. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Hardcover. Condition: new. Hardcover. Artificial intelligence (AI) is evolving rapidly, moving from predictive systems toward a new era dominated by generative technologies. Among the most influential advances are language models, which have expanded into diverse forms capable of addressing increasingly complex and domain-specif…ic challenges. One of the most transformative developments is the emergence of vision language models (VLMs), which integrate visual and textual understanding to enable richer forms of analysis and interaction. By learning relationships between images and text through large-scale training, these models open new possibilities for applications that require deeper contextual interpretation of visual data. In healthcare, VLMs are particularly promising, supporting innovations such as visual question answering, automated medical report interpretation, and enhanced diagnostic and analytical capabilities. Vision Language Models for Next-Generation Healthcare provides one of the first comprehensive explorations of VLMs in healthcare, highlighting how their multimodal capabilities can transform diagnostics, clinical decision-making, and patient care. By combining insights from computer science, biomedical engineering, and clinical practice, this book offers a unified reference on VLMs tailored for healthcare. Covering topics such as augmented report generation, radiology, and workflow intelligence, this book is a critical emerging resource for graduate and doctoral students, computer scientists, biomedical engineers, healthcare informatics, medical researchers, and more. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Paperback. Condition: new. Paperback. Artificial intelligence (AI) is evolving rapidly, moving from predictive systems toward a new era dominated by generative technologies. Among the most influential advances are language models, which have expanded into diverse forms capable of addressing increasingly complex and domain-specif…ic challenges. One of the most transformative developments is the emergence of vision language models (VLMs), which integrate visual and textual understanding to enable richer forms of analysis and interaction. By learning relationships between images and text through large-scale training, these models open new possibilities for applications that require deeper contextual interpretation of visual data. In healthcare, VLMs are particularly promising, supporting innovations such as visual question answering, automated medical report interpretation, and enhanced diagnostic and analytical capabilities. Vision Language Models for Next-Generation Healthcare provides one of the first comprehensive explorations of VLMs in healthcare, highlighting how their multimodal capabilities can transform diagnostics, clinical decision-making, and patient care. By combining insights from computer science, biomedical engineering, and clinical practice, this book offers a unified reference on VLMs tailored for healthcare. Covering topics such as augmented report generation, radiology, and workflow intelligence, this book is a critical emerging resource for graduate and doctoral students, computer scientists, biomedical engineers, healthcare informatics, medical researchers, and more. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Taschenbuch. Condition: Neu. Vision Language Models for Next-Generation Healthcare | Pethuru Raj (u. a.) | Taschenbuch | Englisch | 2026 | IGI GLOBAL SCIENTIFIC PUBLISHING | EAN 9798337373164 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Deman…d.
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Hardcover. Condition: new. Hardcover. Artificial intelligence (AI) is evolving rapidly, moving from predictive systems toward a new era dominated by generative technologies. Among the most influential advances are language models, which have expanded into diverse forms capable of addressing increasingly complex and domain-specif…ic challenges. One of the most transformative developments is the emergence of vision language models (VLMs), which integrate visual and textual understanding to enable richer forms of analysis and interaction. By learning relationships between images and text through large-scale training, these models open new possibilities for applications that require deeper contextual interpretation of visual data. In healthcare, VLMs are particularly promising, supporting innovations such as visual question answering, automated medical report interpretation, and enhanced diagnostic and analytical capabilities. Vision Language Models for Next-Generation Healthcare provides one of the first comprehensive explorations of VLMs in healthcare, highlighting how their multimodal capabilities can transform diagnostics, clinical decision-making, and patient care. By combining insights from computer science, biomedical engineering, and clinical practice, this book offers a unified reference on VLMs tailored for healthcare. Covering topics such as augmented report generation, radiology, and workflow intelligence, this book is a critical emerging resource for graduate and doctoral students, computer scientists, biomedical engineers, healthcare informatics, medical researchers, and more. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Buch. Condition: Neu. Vision Language Models for Next-Generation Healthcare | Pethuru Raj (u. a.) | Buch | Englisch | 2026 | IGI GLOBAL SCIENTIFIC PUBLISHING | EAN 9798337373157 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Artificial intelligence (AI) is evolving rapidly, moving from predictive systems toward a new era dominated by generative technologies. Among the most influential advances are language models, which have expanded into diverse forms capab…le of addressing increasingly complex and domain-specific challenges. One of the most transformative developments is the emergence of vision language models (VLMs), which integrate visual and textual understanding to enable richer forms of analysis and interaction. By learning relationships between images and text through large-scale training, these models open new possibilities for applications that require deeper contextual interpretation of visual data. In healthcare, VLMs are particularly promising, supporting innovations such as visual question answering, automated medical report interpretation, and enhanced diagnostic and analytical capabilities. Vision Language Models for Next-Generation Healthcare provides one of the first comprehensive explorations of VLMs in healthcare, highlighting how their multimodal capabilities can transform diagnostics, clinical decision-making, and patient care. By combining insights from computer science, biomedical engineering, and clinical practice, this book offers a unified reference on VLMs tailored for healthcare. Covering topics such as augmented report generation, radiology, and workflow intelligence, this book is a critical emerging resource for graduate and doctoral students, computer scientists, biomedical engineers, healthcare informatics, medical researchers, and more.
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Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Artificial intelligence (AI) is evolving rapidly, moving from predictive systems toward a new era dominated by generative technologies. Among the most influential advances are language models, which have expanded into diverse forms capable of a…ddressing increasingly complex and domain-specific challenges. One of the most transformative developments is the emergence of vision language models (VLMs), which integrate visual and textual understanding to enable richer forms of analysis and interaction. By learning relationships between images and text through large-scale training, these models open new possibilities for applications that require deeper contextual interpretation of visual data. In healthcare, VLMs are particularly promising, supporting innovations such as visual question answering, automated medical report interpretation, and enhanced diagnostic and analytical capabilities. Vision Language Models for Next-Generation Healthcare provides one of the first comprehensive explorations of VLMs in healthcare, highlighting how their multimodal capabilities can transform diagnostics, clinical decision-making, and patient care. By combining insights from computer science, biomedical engineering, and clinical practice, this book offers a unified reference on VLMs tailored for healthcare. Covering topics such as augmented report generation, radiology, and workflow intelligence, this book is a critical emerging resource for graduate and doctoral students, computer scientists, biomedical engineers, healthcare informatics, medical researchers, and more.
