Neuro Symbolic Reasoning and Learning / SpringerBriefs in Computer Science (PDF)
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Autoren-Porträt von Paulo Shakarian, Chitta Baral, Gerardo I. Simari, Bowen Xi, Lahari Pokala
Paulo Shakarian is an associate professor at Arizona State University. His research focuses on symbolic AI and hybrid symbolic-ML systems. He received his Ph.D. from the University of Maryland, College Park. He is a past DARPA Military Fellow, AFOSR Young Investigator recipient, and his work earned multiple "best paper" awards.Gerardo I. Simari is a professor at UNS, and a researcher at CONICET. His research focuses on AI and Databases, and reasoning under uncertainty. He received a PhD in computer science from University of Maryland College Park and later joined the Department of Computer Science, University of Oxford, where he was also a Fulford Junior Research Fellow of Somerville College.
Chitta Baral is a Professor at the Arizona State University, and a past President of KR Inc. His research interests include Knowledge Representation and Reasoning, NLP and Image Understanding and often involves combining logical reasoning with explicit knowledge and neural learning and reasoning with textual and perceptual inputs.
Bowen Xi is a Ph.D. student at Arizona State University, specializing in the field of Neural Symbolic AI. She is passionate about combining the strengths of neural networks and symbolic reasoning to advance the field of artificial intelligence. Bowen's research interests include developing novel algorithms and techniques that enable machines to learn and reason like humans.
Lahari Pokala is a student pursuing her Master's degree at Arizona State University, where she is majoring in Computer Science. Her interests lie in artificial intelligence and data engineering.
Bibliographische Angaben
- Autoren: Paulo Shakarian , Chitta Baral , Gerardo I. Simari , Bowen Xi , Lahari Pokala
- 2023, 1st ed. 2023, 119 Seiten, Englisch
- Verlag: Springer International Publishing
- ISBN-10: 3031391799
- ISBN-13: 9783031391798
- Erscheinungsdatum: 13.09.2023
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
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- Größe: 3.55 MB
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Englisch
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