Presented By
O’Reilly + Cloudera
Make Data Work
29 April–2 May 2019
London, UK
Scott Stevenson

Scott Stevenson
Senior Data Scientist , Faculty

Website

Scott Stevenson is a senior data scientist at Faculty, where he develops and deploys state-of-the-art machine learning models. He leads Faculty’s research into the use of deep learning for realistic speech synthesis, and architected core components of the Faculty platform. His work has been featured by the BBC, CNBC, Sky, and The Telegraph. Outside of Faculty, he maintains and contributes a range of open source software. Scott holds a DPhil in Particle Physics from Oxford University, and before joining Faculty carried out fundamental physics research at CERN and Stanford University.

Sessions

11:1511:55 Thursday, 2 May 2019
Data Science, Machine Learning & AI
Location: Capital Suite 17
Scott Stevenson (Faculty)
Average rating: *****
(5.00, 4 ratings)
Modern deep learning systems allow us to build speech synthesis systems with the naturalness of a human speaker. While there are myriad benevolent applications, this also ushers in a new era of fake news. Scott Stevenson explores the danger of such systems and details how deep learning can also be used to build countermeasures to protect against political disinformation. Read more.