Our resources

CERN openlab undertakes significant outreach activities in support of its technical work, with project results presented at a wide range of major international conferences. Below you can find our latest annual reports, technical documents, presentations, member case studies, press coverage, and videos. You can also find our 2017 whitepaper on future ICT challenges in scientific research here.

Technical documents

Find the latest technical documents published by members of our collaboration below.

Title Date File
Validation of Deep Convolutional Generative Adversarial Networks for High Energy Physics Calorimeter Simulations

In particle physics the simulation of particle transport through detectors requires an enormous amount of computational resources, utilizing more than 50% of the resources of the CERN Worldwide Large Hadron Collider Grid.

Reduced Precision Strategies for Deep Learning: A High Energy Physics Generative Adversarial Network Use Case

Deep learning is finding its way into high energy physics by replacing traditional Monte Carlo simulations. However, deep learning still requires an excessive amount of computational resources.

The True Random Privacy Project

True Random Privacy (TRP) project, developed during the Random Power hackathon 2020,  aims to create a new differential privacy solution for images, embedding a state-of-the-art features description technique.

Machine Learning applications on OpenStack log data analysis

A massive amount of data is generated by the Openstack cloud services in the format of service logs. Besides timestamps and log level fields, these logs contain additional information useful for pattern analysis.

Automation Tools for Invenio

Invenio is an open source framework, initially developed at CERN, but with many external users and contributors at this moment and prospects of growing even more in the future. Its nature as a digital



Find the latest presentations by members of our collaboration below.

Presentation title Relevant event Date File
Validation of GANs for High Energy Physics Simulation AAAI-MLPSI 2021 23-03-21
Reduced Precision Strategies for Deep Learning: 3DGAN Use Case (Video) 10th ICPRAM Conference 2021 11-02-21
Reduced Precision Strategies for Deep Learning: 3DGAN Use Case 10th ICPRAM Conference 2021 06-02-21
True Random Privacy team at the RaP! hackathon Random Power Hackathon 05-11-20
Reduced Precision Strategies for Deep Learning: 3DGAN Use Case 4th IML Workshop CERN 2020 21-10-20

Member case studies

Find all the latest announcements, press releases, blog posts, and videos from our collaborators below.

Title Date File
CERN Accelerates Simulation Workloads with AI

In order to help address future needs for CERN’s LHC (Large Hadron Collider—the world’s largest particle accelerator), researchers at CERN, SURFsara, and Intel have been rethinking approaches for supplying extraordinary new levels of Monte Carlo-based simulations.

Accelerating Science with CERN and Oracle

Eric Grancher, Head of Database Services Group at CERN, explains the immense scale of CERN's work, the use of Oracle technologies, and the collaboration with Oracle.

Registration Open for Internet2-Oracle Webinar: “Accelerating Science with CERN and Oracle” on January 26

CERN uses Oracle solutions to support the control systems for the Large Hadron Collider, the world’s largest and most powerful particle accelerator.

CERN Hybrid Cloud Empowers Breakthrough Research

CERN’s Large Hadron Collider (LHC) is the largest particle accelerator on earth. Every second, extremely sensitive detectors capture petabytes of data resulting from each experimental run using the LHC.

How Intel Is Helping CERN to Unlock the Biggest Mysteries in Science

The world of scientific research produces massive amounts of data at an ever-increasing pace. One of the biggest challenges for researchers is how to store and process it.