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Kirjailija

Bikram Pratim Bhuyan

Kirjat ja teokset yhdessä paikassa: 3 kirjaa, julkaisuja vuosilta 2024–2026, suosituimpiin kuuluu Neuro-Symbolic Artificial Intelligence. Vertaile teosten hintoja ja tarkista saatavuus suomalaisista kirjakaupoista.

3 kirjaa

Kirjojen julkaisuvuodet: 2024–2026.

Neuro-Symbolic Artificial Intelligence

Neuro-Symbolic Artificial Intelligence

Bikram Pratim Bhuyan; Amar Ramdane-Cherif; Thipendra P. Singh; Ravi Tomar

SPRINGER VERLAG, SINGAPORE
2024
sidottu
This book highlights and attempts to fill a crucial gap in the existing literature by providing a comprehensive exploration of the emerging field of neuro-symbolic AI. It introduces the concept of neuro-symbolic AI, highlighting its fusion of symbolic reasoning and machine learning. The book covers symbolic AI and knowledge representation, neural networks and deep learning, neuro-symbolic integration approaches, reasoning and inference techniques, applications in healthcare and robotics, as well as challenges and future directions. By combining the power of symbolic logic and knowledge representation with the flexibility of neural networks, neuro-symbolic AI offers the potential for more interpretable and trustworthy AI systems. This book is a valuable resource for researchers, practitioners, and students interested in understanding and applying neuro-symbolic AI.
Neuro-Symbolic Artificial Intelligence

Neuro-Symbolic Artificial Intelligence

Bikram Pratim Bhuyan; Amar Ramdane-Cherif; Thipendra P. Singh; Ravi Tomar

Springer Verlag Singapore
2025
Nidottu
This book highlights and attempts to fill a crucial gap in the existing literature by providing a comprehensive exploration of the emerging field of neuro-symbolic AI. It introduces the concept of neuro-symbolic AI, highlighting its fusion of symbolic reasoning and machine learning. The book covers symbolic AI and knowledge representation, neural networks and deep learning, neuro-symbolic integration approaches, reasoning and inference techniques, applications in healthcare and robotics, as well as challenges and future directions. By combining the power of symbolic logic and knowledge representation with the flexibility of neural networks, neuro-symbolic AI offers the potential for more interpretable and trustworthy AI systems. This book is a valuable resource for researchers, practitioners, and students interested in understanding and applying neuro-symbolic AI.