In 2017, the introduction of transformers into feed-forward neural networks enabled computers to achieve human-level performance on a range of language tasks. In this talk, we’ll describe some of the theory behind these systems, and explain how it can be applied to search and information retrieval problems.
Dr. Amr Awadallah served as VP of Developer Relations for Google Cloud until July 2021.
Prior to joining Google in Nov 2019, Amr co-founded Cloudera in 2008 and as Global CTO, he spent 11 years working closely with enterprises around the world on how to ingest and extract value from big data (he famously coined the terms “schema-on-read vs schema-on-write”). He also served as vice president of product intelligence engineering at Yahoo! from 2000-2008 and ran one of the very first organizations to use Apache Hadoop for big data analysis. Amr joined Yahoo after they acquired his first startup, Aptivia, in mid-2000 which was a search engine for online product information.
Amr received his PhD in EE from Stanford University (thesis was on leveraging virtual machines to implement internet scale applications), and his Bachelor and Master Degrees from Cairo University, Egypt.