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Smarter AI, fewer resources: bringing cloud AI into real-time edge devices to unlock performance

A new AI framework for edge systems overcomes the communication and energy obstacles that limit their use in real-time applications by integrating local and cloud decision-making while maintaining strong performance. Artificial intelligence (AI) models with vast and...

Making a research will: the human side of project migration

Have a project moving on to a higher plane? Make a plan to prevent getting stuck in limbo. As technology innovators, we get excited about ushering in new ideas and implementing new technologies. Sometimes, however, we might overlook the less flashy labor needed to...

A marriage of true minds: Making university-industry collaborations succeed

Tomáš Vojnar has been a researcher, professor, vice-dean, and department chair—what about a marriage counselor? In conversation with Red Hat Research engineer Martin Ukrop, Tomáš —now head of the Department of Computer Systems and Communications in the Faculty of...

AI DIY: How research is making custom language models work with more of us

“How many lives am I impacting?” That’s the question that set Akash Srivastava, Founding Manager of the Red Hat AI Innovation Team, on a path to developing the end-to-end open source LLM customization project known as InstructLab. A principal investigator (PI)...

Can LLMs facilitate network configuration?

The networks that connect everything from cell phones to datacenters require frequent—and error-prone—human intervention for configuration. Recent research evaluates the effectiveness of applying various machine-learning models to the task. Since 2023, Red Hat...
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