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Put AI to work
8-9 Oct 2018: Training
9-11 Oct 2018: Tutorials & Conference
London, UK
Thomas Endres

Thomas Endres
Partner, TNG

Website

Thomas Endres is a partner at TNG, where he works as an IT consultant. Besides his normal work for the company and the customers, he creates various prototypes, like a telepresence robotics system with which you can see reality through the eyes of a robot, or an augmented reality AI that shows the world from the perspective of an artist. He’s working on various applications in the fields of AR, VR, and AI and gesture control, putting them to use, for example, in autonomous or gesture-controlled drones. But he’s also involved in other open source projects written in Java, C#, and all kinds of JavaScript languages. Thomas studied IT at the TU Munich and is passionate about software development and all the other aspects of technology. As an Intel Software Innovator and Black Belt, he promotes new technologies like AI, AR, and VR and robotics around the world. For this he’s received, among others, a JavaOne Rockstar award.

Sessions

13:45–14:25 Thursday, 11 October 2018
How machines learn to code: Machine learning on source code
Implementing AI
 Location: King's Suite - Sandringham
Thomas Endres (TNG), Samuel Hopstock (TNG Technology Consulting)
Thomas Endres and Samuel Hopstock demonstrate how to apply machine learning techniques on a program's source code, covering problems you may encounter, how to get enough relevant training data, how to encode the source code as a feature vector so that it can be processed mathematically, what machine learning algorithms to use, and more. Read more.