In Codice Ratio, a multidisciplinary research project coordinated by the “Roma Tre” University is developing an artificial intelligence system to support the analysis of large collections of historical documents. The project is attracting the attention of several international industrial organisations as the project will also provide benefits to issues concerning automatic digital transcription of text (a process that includes the issue of optical character recognition) and to the use of Google TensorFlow technology, which is at the basis of the work flow of “In Codice Ratio.”
A fundamental contribution to the project has also been made by over 500 students from 25 high schools who fed the programme the data necessary to train the machine learning system during a school-work programme.
In this interview with Francesca Meini, “Roma Tre” University Researcher Donatella Firmani speaks about the project and gives us a preview of some of the content that will be presented at the orientation talk (RomeCup 2019, April 2-5)
Ascolta "A RomeCup 2019 talk di orientamento sul machine learning" su Spreaker.
RomeCup 2019
April 4 - 12.00 | “Roma Tre” University
Department of Engineering, Lecture Halls N6-N7
In Codice Ratio (Machine Learning) - Donatella Firmani
