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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...
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If you’re headed to Red Hat Summit, May 19-22, join engineers from Red Hat Research and Emerging Technologies for labs and breakout sessions that let you get your hands on what they’ve been doing and dive deep into far edge and AI/LLM topics. Click on a presentation...
Blog, Europe
Student research spotlight—Alexandra Skysľaková Not all large language models (LLMs) are equally good at generating tests for all programming languages. Alexandra Skysľaková, a recent graduate from the Faculty of Informatics at Masaryk University (MUNI), focused her...