Sep 9–12, 2019
Mayank Kejriwal

Mayank Kejriwal
Research Scientist, USC Information Sciences Institute

Website

Mayank Kejriwal is a computer scientist at the USC Information Sciences Institute, where he conducts research on the IARPA HFC and DARPA LORELEI, CauseEx, D3M, and MEMEX projects, the latter of which has been covered by 60 Minutes, Forbes, Scientific American, the Wall Street Journal, the BBC, and Wired. He holds a PhD from the University of Texas at Austin. His dissertation, "Populating a Linked Data Entity Name System,” received the Best Dissertation Award by the Semantic Web Science Association in 2017. Mayank is currently coauthoring a textbook on knowledge graphs.

Sessions

4:50pm5:30pm Thursday, September 12, 2019
Location: LL21 A/B
Mayank Kejriwal (USC Information Sciences Institute)
Average rating: ****.
(4.67, 3 ratings)
Embeddings have emerged as an exciting by-product of the deep neural revolution and now apply universally to images, words, documents, and graphs. Many algorithms only require unlabeled datasets, which are plentiful in businesses. Mayank Kejriwal examines what these embeddings really are and how businesses can use them to bolster their AI strategy. Read more.

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