Healthcare Applications of Neuro-Symbolic Artificial Intelligence
| AUTHOR | Galitsky, Boris |
| PUBLISHER | Academic Press (08/19/2025) |
| PRODUCT TYPE | Paperback (Paperback) |
Description
Healthcare Applications of Neuro-Symbolic Artificial Intelligence provides a comprehensive introduction to the field of neuro-symbolic (NS) artificial intelligence (AI), presenting the most recent advances in deep learning and integration of NS systems and large language models (LLMs). This book evaluates traditional approaches, current approaches, as well as the author's own approach to NS, to create hybrid architectures and reasoning techniques to overcome the limitations of most existing AI systems such as deep learning, neural networks, and symbolic AI.
This book will be a welcome resource for researchers and graduate students in AI, natural language processing, and biomedical informatics, as well as professionals in software development looking to redesign current systems to leverage LLMs through the health application of NS architecture.
This book will be a welcome resource for researchers and graduate students in AI, natural language processing, and biomedical informatics, as well as professionals in software development looking to redesign current systems to leverage LLMs through the health application of NS architecture.
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Product Format
Product Details
ISBN-13:
9780443300462
ISBN-10:
0443300461
Binding:
Paperback or Softback (Trade Paperback (Us))
Content Language:
English
More Product Details
Page Count:
578
Carton Quantity:
1
Product Dimensions:
7.30 x 1.20 x 8.90 inches
Weight:
2.60 pound(s)
Country of Origin:
US
Subject Information
BISAC Categories
Computers | Artificial Intelligence - Natural Language Processing
Computers | Life Sciences - Molecular Biology
Computers | Bioinformatics
Descriptions, Reviews, Etc.
publisher marketing
Healthcare Applications of Neuro-Symbolic Artificial Intelligence provides a comprehensive introduction to the field of neuro-symbolic (NS) artificial intelligence (AI), presenting the most recent advances in deep learning and integration of NS systems and large language models (LLMs). This book evaluates traditional approaches, current approaches, as well as the author's own approach to NS, to create hybrid architectures and reasoning techniques to overcome the limitations of most existing AI systems such as deep learning, neural networks, and symbolic AI.
This book will be a welcome resource for researchers and graduate students in AI, natural language processing, and biomedical informatics, as well as professionals in software development looking to redesign current systems to leverage LLMs through the health application of NS architecture.
This book will be a welcome resource for researchers and graduate students in AI, natural language processing, and biomedical informatics, as well as professionals in software development looking to redesign current systems to leverage LLMs through the health application of NS architecture.
Show More
List Price $180.00
Your Price
$178.20