My friend Craig A. Knoblock stops by to discuss machine learning and A.I. technologies such as Chat GPT and Midjourney as well as the future of the field itself. We discuss the methods which data scientists use to feed these A.I. and the ethical implications of this new pervasive technology. We talk about his utilization of A.I. to try and stop human trafficking with the help of law enforcement. Also the most important and undeniable applications for A.I. especially in the field of healthcare. This is a fascinating conversation with an amazing human being.
Knowledge Graphs: Fundamentals, Techniques, and Applications (Adaptive Computation and Machine Learning series)
https://amzn.to/3ZlxZ7L
Generating Abstraction Hierarchies: An Automated Approach to Reducing Search in Planning (The Springer International Series in Engineering and Computer Science, 214)
https://amzn.to/3LOTWsM
Craig Knoblock is a distinguished computer scientist, academic leader, and expert in the field of knowledge graphs. He currently serves as the Executive Director of the Information Sciences Institute at the University of Southern California (USC), as well as a Research Professor of Computer Science and Spatial Sciences at USC. Dr. Knoblock is also the Research Director of the Center on Knowledge Graphs and Associate Director of the Informatics Program at USC.
Dr. Knoblock received his Bachelor of Science degree from Syracuse University and went on to earn both his Master’s and Ph.D. in computer science from Carnegie Mellon University. Throughout his career, he has dedicated his research to developing techniques for describing, acquiring, and exploiting the semantics of data. His extensive body of work includes research on source modeling, schema and ontology alignment, entity and record linkage, data cleaning and normalization, and extracting data from the Web. Dr. Knoblock is best known for his work in building knowledge graphs by combining these techniques.
Dr. Knoblock has authored over 300 journal articles, book chapters, and conference papers on the topics of his research, and has received 7 best paper awards for his contributions to the field. His outstanding achievements have earned him recognition as a Fellow of both the Association for the Advancement of Artificial Intelligence (AAAI) and the Association of Computing Machinery (ACM). Dr. Knoblock has also served as the past President and Trustee of the International Joint Conference on Artificial Intelligence (IJCAI) and was awarded the 2014 Robert S. Engelmore Award for his exceptional contributions to the field of artificial intelligence.
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