Red Hat Research Quarterly provides insights into the range of activities that bring universities, government organizations, industry partners together to share outcomes with open source communities. Here you’ll find articles on the latest research topics we are exploring together, views into the approaches and people behind that research, and examples of the impact that combining education with an open source perspective can have.

May 2021Latest Issue

Interview

When one plus one makes more than two: how open source builds a bridge between universities and industry

An interview with Anat Bremler-Barr.

More from this issue

Demystifying real-time Linux scheduling latency

Translation layers for the cloud: speeding storage performance

Verifying programs that communicate with the environment

May 2021Latest Issue

Interview

When one plus one makes more than two: how open source builds a bridge between universities and industry

An interview with Anat Bremler-Barr.

More from this issue

Demystifying real-time Linux scheduling latency

Translation layers for the cloud: speeding storage performance

Verifying programs that communicate with the environment

All issues

May 2021

Anat Bremler-Barr: when one plus one makes more than two

May 2020

Kit Murdock—an open source swashbuckler.

Research Red Hat Quarterly 2:2 cover page

August 2020

Voyage into the open Dataverse: 

James Honaker and Mercè Crosas on the privacy balancing act

Red Hat Research Quarterly 2:3 cover page with Vaclav Matyas

October 2020

Václav Matyáš: open source cybersecurity and the next generation

Cover of Research Quarterly 2:4 with Kate Saenko

February 2021

Kate Saenko: minimizing dataset bias in AI

May 2019

Daniel Gruss—What can we do to improve security and resistance to the Spectres and Meltdowns of the future?

August 2019

How To Train Your Model: E. Ugur Kaynar’s Research Adds Object Store Caching to Ceph, Speeds Machine Learning.

November 2019

Rolling your own processor: Ahmed Sanaullah builds an open source toolchain for an FPGA.

February 2020

Finding Flipper: Newcastle PhDs Georgia Atkinson and Cameron Trotter use deep learning to identify and count marine mammals.

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