Knowledge-Infused Learning
neurosymbolic ai for explainability, interpretability, and safety
$233.59
- Hardcover
310 pages
- Release Date
31 October 2025
Summary
Knowledge-Infused Learning: Bridging AI with Human Understanding
Knowledge-infused learning directly confronts the opacity of current ‘black-box’ AI models by combining data-driven machine learning techniques with the structured insights of symbolic AI. This guidebook introduces the pioneering techniques of neurosymbolic AI, which blends statistical models with symbolic knowledge to make AI safer and user-explainable.
This is critical in high-stakes AI applications in health…
Book Details
| ISBN-13: | 9781009513746 |
|---|---|
| ISBN-10: | 1009513745 |
| Author: | Manas Gaur, Amit P. Sheth |
| Publisher: | Cambridge University Press |
| Imprint: | Cambridge University Press |
| Format: | Hardcover |
| Number of Pages: | 310 |
| Release Date: | 31 October 2025 |
| Weight: | 0g |
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About The Author
Manas Gaur
Manas Gaur is an assistant professor in the Department of Computer Science and Electrical Engineering at the University of Maryland, Baltimore County (UMBC). He earned his Ph.D. in 2022 from the University of South Carolina’s Artificial Intelligence Institute, studying under Dr. Amit P. Sheth. A pioneer in knowledge-infused learning (2016–2022), Gaur’s research has earned multiple best paper awards and recognition through USC Eminent Profiles and AAAI New Faculty Highlights. His cutting-edge work continues to attract major funding, including grants from NSF and EPSRC-UKRI in partnership with the Alan Turing Institute.
Amit P. Sheth is the NCR Chair and Professor of Computer Science and Engineering at the University of South Carolina, where he founded the university-wide AI Institute in 2019 and grew it to nearly 50 AI researchers in four years. He is a fellow of IEEE, AAAI, AAAS, ACM, and AIAA. His awards include the IEEE CS Wallace McDowell Award and the IEEE TCSVC Research Innovation Award. He has co-founded four companies, run two of them, and advised or mentored over 45 Ph.D. candidates and postdocs to exceptional careers in academia, industry, and as entrepreneurs.
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