AI should not leave structured data behind!

The following is an article written by Professor Ihab Ilyas, a faculty member of the Data Systems Group and the Thomson Reuters Research Chair in Data Cleaning from Theory to Practice.

The following is an article written by Professor Ihab Ilyas, a faculty member of the Data Systems Group and the Thomson Reuters Research Chair in Data Cleaning from Theory to Practice.
PhD candidate Amine Mhedhbi is one of 10 recipients across North America and the only recipient from Canada to receive a 2020 Microsoft Research PhD Fellowship. Established in 2008, these prestigious fellowships have supported more than 150 exceptional doctoral students to date.
Speaker: Juan Sequeda, data.world
Speaker: David Doermann, University at Buffalo
Chang Ge, PhD candidate
David R. Cheriton School of Computer Science
Speaker: Umar Farooq Minhas, Microsoft Research
Speaker: Marco Serafini, University of Massachusetts Amherst
Speaker: Saif M. Mohammad, National Research Council Canada
Speaker: Guoliang Li, Tsinghua University
Abstract:
Camilo Munoz, MMath candidate
David R. Cheriton School of Computer Science
Thanks to the advance in mobile and touch screen devices, handwritten input has gained more popularity among users. When considering mathematical input, however, handwritten math interfaces have to deal with new problems and issues not found in natural language. A popular area of interest that deals with math formulae recognition is math information retrieval (MIR).