Engineering Neurosymbolic Artificial Intelligence
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Home > Computing and Information Technology > Computer science > Artificial intelligence > Expert systems / knowledge-based systems > Engineering Neurosymbolic Artificial Intelligence: The Integration of Knowledge and Learning
Engineering Neurosymbolic Artificial Intelligence: The Integration of Knowledge and Learning

Engineering Neurosymbolic Artificial Intelligence: The Integration of Knowledge and Learning


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About the Book

Unlock the Future of AIThe next revolution in artificial intelligence is here. Engineering Neurosymbolic Artificial Intelligence explores the powerful fusion of deep learning and symbolic reasoning, paving the way for AI systems that can learn, reason, and generalize beyond pattern recognition. This comprehensive guide takes you beyond conventional deep learning, introducing neurosymbolic AI-a cutting-edge approach that integrates machine learning with structured reasoning to create AI that is more explainable, adaptable, and efficient. What's Inside The Evolution of AI: From rule-based systems to statistical learning and hybrid intelligence Mathematical Foundations: Logic, probabilistic reasoning, statistical learning theory, and optimization Knowledge Representation: Ontologies, knowledge graphs, and neural-symbolic models AI for Physics and Scientific Discovery: Physics-informed neural networks, differentiable physics engines, and hybrid reasoning systems Advanced Learning Mechanisms: Supervised, self-supervised, and zero-shot learning combined with symbolic methods Cutting-Edge Reasoning Systems: Theorem proving, probabilistic logic, and neural-symbolic inference Neural-Symbolic Integration: Combining deep learning with logical structures for superior AI performance Real-World Applications: Robotics, natural language understanding, visual intelligence, and more A Rigorous Mathematical ApproachUnlike general AI books, this work includes a dedicated mathematical section covering logic, set theory, probability, statistics, and optimization-ensuring a solid foundation for mastering neurosymbolic AI. Who Should Read This Book? AI Researchers & Engineers seeking to develop next-generation intelligent systems Data Scientists & Machine Learning Practitioners looking to enhance AI reasoning capabilities Students & Academics interested in a deeper understanding of AI beyond deep learning Industry Professionals in robotics, healthcare, finance, and automation who need advanced AI solutions Why This Book?Deep learning alone has limits. Engineering Neurosymbolic Artificial Intelligence equips you with the knowledge to build AI systems that think, reason, and adapt-ushering in a new era of intelligent technology. Order now and take your AI expertise to the next level.


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Product Details
  • ISBN-13: 9798309062362
  • Publisher: Independently Published
  • Publisher Imprint: Independently Published
  • Height: 279 mm
  • No of Pages: 530
  • Returnable: N
  • Sub Title: The Integration of Knowledge and Learning
  • Width: 216 mm
  • ISBN-10: 8309062362
  • Publisher Date: 01 Feb 2025
  • Binding: Paperback
  • Language: English
  • Returnable: N
  • Spine Width: 27 mm
  • Weight: 1264 gr


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