Jon Barker

Jon Barker is a Senior Research Scientist in the Applied Deep Learning Research team at NVIDIA. Jon joined NVIDIA in 2015 and has worked on a broad range of applications of deep learning including object detection and segmentation in satellite imagery, optical inspection of manufactured GPUs, malware detection, resumé ranking and audio denoising. Prior to joining NVIDIA Jon worked in the UK and US government specializing on analytics and machine learning for remote sensing. Jon has a PhD in Pure Mathematics from the University of Southampton, UK.

Posts by Jon Barker

Technical Walkthrough 0 May 02, 2018

NVVL Accelerates Machine Learning on Video Datasets

Loading data onto GPUs for training has historically been a minor issue for most deep learning practitioners. Data read from a local spinning hard drive or NAS... 11 MIN READ
Malware Detection using Neural Networks
Technical Walkthrough 0 Nov 21, 2017

Malware Detection in Executables Using Neural Networks

The detection of malicious software (malware) is an increasingly important cyber security problem for all of society. Single incidences of malware can cause... 15 MIN READ
SpaceNet Aerial Imagery
Technical Walkthrough 0 Aug 31, 2016

Exploring the SpaceNet Dataset Using DIGITS

DigitalGlobe, CosmiQ Works and NVIDIA recently announced the launch of the SpaceNet online satellite imagery repository. This public dataset of high-resolution... 16 MIN READ
Figure 1: Example DetectNet output for vehicle detection.
Technical Walkthrough 0 Aug 11, 2016

DetectNet: Deep Neural Network for Object Detection in DIGITS

The NVIDIA Deep Learning GPU Training System (DIGITS) puts the power of deep learning in the hands of data scientists and researchers. Using DIGITS you can... 11 MIN READ
Technical Walkthrough 0 Aug 11, 2016

Deep Learning for Object Detection with DIGITS

[caption id="attachment_6933" align="alignright" width="300"] Figure 1: A screenshot of DIGITS 4 showing the input image (top) and the final result with... 14 MIN READ