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Where can adding AI tools to the developer workflow yield the most benefits? Here’s one veteran engineer’s analysis. by John Baublitz, Principal Software Developer, Red Hat A 2025 METR study of AI efficiency in open source development engendered a lot of...
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by Yuan Tang and Edward Tsien Researchers and engineers from Red Hat and Purdue University have introduced VEX-Bench, the first benchmark for evaluating LLM agents’ ability to determine whether a known vulnerability in a third-party dependency is actually...
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Red Hat recently announced the formation of asago (AI Safety and Governance Orchestration), a collaborative open source community project intended to automate how AI governance policies become safe, product-ready AI systems. asago will translate complex policies...
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Red Hat Research, the Mass Open Cloud (MOC), and IBM Research launched a new collaborative effort with eight US university research projects to advance the National Science Foundation’s National AI Research Resource (NAIRR) Deep Partnership Program. As members of the...
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Drug discovery is a complex process that takes an average of 10-15 years and demands substantial resources. Accelerating life sciences research progress with AI can save more lives and cut costs, and developing that technology will happen more quickly and safely in...
