15–26 Aug 2016
KTH Lecture Hall E3
Europe/Stockholm timezone

Case Study: State of the Art Parallel Computing enables new Science breakthroughs

26 Aug 2016, 11:00
1h
E3 (KTH Lecture Hall E3)

E3

KTH Lecture Hall E3

KTH main campus Valhallavägen 79

Speaker

Alison Lowndes (Nvidia)

Description

NVIDIAs Alison Lowndes will provide an overview of NVIDIA's latest hardware and software offering and how this enables discovery and insight via parallel scientific visual computing. She will also cover recent progress in algorithms and papers that should be of great interest Alison Lowndes Deep Learning Solutions Architect & Community Manager EMEA| NVIDIA (UK) Recent mature graduate in Artificial Intelligence (University of Leeds), combining technical and theoretical computer science with a physics background. Completed a thorough empirical study of deep learning, specifically with GPU technology, covering the entire history and technical aspects of GPGPU with underlying mathematics. After 25+ years in international project management and entrepreneurship, Alison now manages the Deep Learning and AI developer community across EMEAI and advises on a wide range of applications of deep learning.

Presentation materials