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.
A marriage of true minds: Making university-industry collaborations succeed
An interview with Tomáš Vojnar, head of the Department of Computer Systems and Communications in the Faculty of Information Technology at Masaryk University
AI DIY: How research is making custom language models work with more of us
An interview with Akash Srivastava, InstructLab’s chief architect talks custom language models and democratizing AI
More from this issue
More from this issue
All issues
May 2024
Mo Duffy and Rudolph Pienaar: ChRIS five years later: leveling the playing field for advanced analytics and AI
November 2024
John Goodhue: Power surge: the push for sustainability in high-performance computing and AI workloads
Spring 2025
featuring two interviews: Tomáš Vojnar, a long-time Red Hat Research collaborator who is now the head of the computer science department of Masaryk University (Czechia), and Akash Srivastava, co-creator of InstructLab and the founding manager of the Red Hat AI Innovation Team
May 2023
Red Hat Chairman Paul Cormier and Boston University Professor Orran Krieger: “That’s what open source is all about”
August 2023
Miroslav Bureš: “Research is an adventure”: Putting theory to the test at the university and in the field
November 2023
Jonathan Appavoo: No more gatekeepers: Why technological ignorance is radically dangerous and how an open world will help
February 2024
Walter Scheirer: Future vision: on the internet, technopanic, and the limits of AI
May 2022
Ayse Coskun on how machine learning for operations and how AI can push analytics to the speed of software deployment.
August 2022
Tomáš Černý: The Baylor University professor talks cross-cultural exchange, microservice evolution, and quality assurance
November 2022
Daniel Gruss and Martin Schwarzl: When is it secure enough? Vulnerability research and the future of vulnerability management.
February 2023
Abhimanyu (Manu) Gosain: Where are we with wireless? How researchers are pushing forward the state of the art, and what that means for industry
May 2021
Anat Bremler-Barr: when one plus one makes more than two
August 2021
Anna Brunström: the right idea at the right time: networking researchers use open source for real-world results
November 2021
Barbora Buhnová: On founding Czechitas and opening the doors of tech
February 2022
Michael Zink: On shared cloud computing resources making research more accessible and powerful
May 2020
Kit Murdock—an open source swashbuckler.
August 2020
Voyage into the open Dataverse:
James Honaker and Mercè Crosas on the privacy balancing act
October 2020
Václav Matyáš: open source cybersecurity and the next generation
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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