Application of Deep Learning Artificial Intelligence Tools in Pharmaceutical Processes

The last 5 years have seen remarkable advances in speech, image and language recognition tools that have been made available to the public through computer and mobile devices’ applications. Some of these significant improvements were achieved by an artificial intelligence tool known as deep learning (Hinton et al., 2006) that generally refers to a set of novel neural networks algorithms.
It is recognized that training of deep neural nets require a vast amount of data. In this sense manufacturing processes are ideal candidates for deep learning applications since they utilize computers and information systems for monitoring and control thus generating massive amount of data. This is especially true in pharmaceutical industries such as Sanofi where large data sets are routinely stored for monitoring and regulatory purposes. TO BE CONT’D

Faculty Supervisor:

Hector Budman

Student:

Partner:

Sanofi

Discipline:

Engineering

Sector:

Biotechnology; Health and Related Sciences & Technology; Pharmaceuticals

University:

University of Waterloo

Program: