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Knowledge graphs and other ways to encode the relationship between data concepts are putting common sense into AI and machine learning. In this podcast, we interview Chaitan Baru, Senior Advisor, Data Science Research Initiatives at University of California San Diego, and formerly serving a four year rotation at the National Science Foundation (NSF) where he helped with a number of initiatives including the Big Data program and Data Science-related activities.
Show Notes:
- Research Papers referenced in the podcast:
- Federal Big Data R and D Strategic Plan
- Partnership between NSF and the big public cloud providers
- NSF Harnessing the Data Revolution Big Idea
- NITRD Big Data Strategic Initiative workshop, Georgetown University
- NITRD Open Knowledge Network workshop and report
- University of Michigan Digital Innovation Greenhouse and the Office of Academic Innovation
- UCSD Halicioglu Data Science Institute
- UCSD CSE Database research group
- UCSD AI research group
- UCSD Jaffe Lab for Underwater Imaging
- Advanced Data Analytics Lab, UCSD
- Workshop on Common Model Infrastructure, KDD 2018
- NIPS 2018 Expo Workshop on Common Model Infrastructure
- ACM Conference on Fairness, Accountability, and Transparency (ACM FAT*)
