Red Hat Research Quarterly
Future vision: on the internet, technopanic, and the limits of AI
An interview with Walter Scheirer
Volume 5, Issue 4 • ISSN 2691-5278
Departments
Features
Inside this issue
This issue of RHRQ begins with a list that is the fruit of the labor of many people. It is a list of the winners of the 2024 Research Incubation Awards given by the Red Hat Collaboratory at Boston University, and it represents a major step forward in Red Hat funding. We’ve been through this […]
Machine learning, energy efficiency, and secure data sharing are major research themes in Collaboratory-supported projects. With the announcement of the 2024 Research Incubation Awards for the Red Hat Collaboratory at Boston University, the Red Hat-BU partnership has deepened its long-running commitment to advancing the state of the art in cloud computing, AI and machine learning, […]
Everyone has an opinion on misinformation and AI these days, but few are as qualified to share it as computer vision expert and technology ethicist Walter Scheirer. Scheirer is the Dennis O. Doughty Collegiate Associate Professor of Computer Science and Engineering at the University of Notre Dame and a faculty affiliate of Notre Dame’s Technology […]
Passive network latency monitoring offers a more holistic view of network performance without creating additional traffic. Researchers are developing a new tool to enable it efficiently. Network latency is a determining factor in users’ Quality of Experience (QoE) for applications including web searches, live video, and video games. That’s why network latency monitoring is critical. […]
Quantum computing could put secure communication at risk sooner than you think. Current research aims to solve the problem before it starts. Post-quantum cryptography (alternatively, quantum-resistant cryptography) probably consumes more bandwidth than it should in quantum computing discussions. That’s because the potential to incrementally improve the efficiency of important but mundane tasks like optimizing logistics […]
The strategy for scaling data capacity varies according to volume, access patterns, and cost-effectiveness. We look at an approach that achieves optimal results in the context of serverless data analytics. Big data holds great promise for solving complex problems, but data-intensive applications are necessarily limited by the difficulty of supporting and maintaining them. The CloudButton […]
AI/ML research is driving performance and efficiency gains and building better developer tools. Red Hat Research and its university partners focus strategically on projects with the most promise to shape the future of how we use technology. Each quarter, RHRQ will publish an overview of our research in a specific area, such as edge computing, […]