Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Hybrid AI Architectures for Intelligent Systems

Hybrid AI Architectures for Intelligent Systems

Khan, Surbhi Bhatia
Khullar, Shikha
Khan, Muhammad Attique

Hardcover

General ComputersProgramming

ISBN13: 9798260000083
Publisher: Igi Global Scientific Publishing
Published: Apr 1 2026
Pages: 500
Weight: 1.90
Height: 0.88 Width: 7.00 Depth: 10.00
Language: English
Single-paradigm AI solutions no longer sufficiently address the complexity, scale, and dynamics of modern intelligent systems. When deployed in isolation, traditional paradigms often encounter limitations related to scalability, energy efficiency, latency, interpretability, or robustness. The future of AI lies in integration through hybrid architectures that unify complementary strengths across computational, algorithmic, and infrastructural domains. Hybrid systems promote adaptive coordination between modalities, infrastructures, and learning paradigms. Further exploration may reveal how hybridization enables systems to respond dynamically to environmental feedback and evolving workloads. Hybrid AI Architectures for Intelligent Systems explores the conceptual foundations, architectural innovations, performance optimizations, and future directions of hybrid AI systems. It examines how hybrid AI redefines current frameworks for future intelligent systems. This book covers topics such as cyber threat detection, edge computing, and smart cities, and is a useful resource for engineers, academicians, researchers, and scientists.

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