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Wiley-Scrivener
T. S. Arun Samuel
Composite Artificial Intelligence
N/A
2026
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Publisher > Wiley-Scrivener
Author > T. S. Arun Samuel
Title > Composite Artificial Intelligence
Issue > N/A
Year > 2026
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ISBN > 9781394393039
Pages > 532
Genre > Artificial-Intelligence-Ai
Language > English
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Type > RETAIL
Media > TECH
Format > .epub
Section > eBook
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Published > 2026-06
Release > 2026-06-27
Disks > 04 x 5 MB
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- - -- [ D E S C R I P T I O N ] -- - -
Unlock the full potential of context-aware AI while navigating critical
hurdles like bias mitigation and ethical governance with this definitive
resource on the future of composite artificial intelligence. In the rapidly
evolving landscape of artificial intelligence, the demand for more
adaptive, intelligent, and context-aware systems has led to the emergence
of composite artificial intelligence: a paradigm that integrates multiple
AI techniques to solve complex real-world problems with higher efficiency
and intelligence. This book is a groundbreaking exploration of the next
evolution in AI, where diverse methodologies like machine learning,
symbolic reasoning, and cognitive computing converge to solve complex,
real-world problems with unprecedented intelligence and adaptability.
Unlike traditional AI approaches that rely on singular techniques,
composite AI harnesses the strengths of multiple paradigms, enabling
systems that are more robust, interpretable, and capable of human-like
decision-making. This book provides a comprehensive roadmap for
understanding and implementing these advanced systems, from foundational
theories to cutting-edge applications across industries such as healthcare,
finance, and smart manufacturing. It delves into critical challenges,
including bias mitigation, integration hurdles, and ethical governance,
while showcasing real-world case studies that demonstrate the
transformative potential of composite AI. With its balanced blend of
theory, technical depth, and actionable insights, this book is a definitive
resource for unlocking the full potential of AI in an increasingly complex
world. Readers will find the volume: Explores the intersection of machine
learning, symbolic reasoning, and cognitive computing for solving real-
world challenges smarter and faster; Introduces cutting-edge techniques for
bias reduction, optimization, and seamless multi-method integration;
Provides real-world case studies and scalable frameworks to demonstrate how
composite AI is transforming industries; Presents ethical implications and
current innovations to build trustworthy, compliant AI systems that align
with regulations; Audience Academics, policymakers, AI researchers, data
scientists, AI and machine learning engineers and developers, and??industry
professionals working in healthcare, finance, manufacturing, and
cybersecurity who need robust, explainable, and adaptive AI solutions.
- - -- [ R E T A I L U R L ] -- - -
https://bookshop.org/p/books/composite-artificial-intelligence-
fundamentals-challenges-and-applications-l-jerart-julus/aa3fcadaff530948
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