Choosing LLMs to generate high-quality unit tests for code

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...

What the Massachusetts AI Hub could mean for AI innovation

Blog, North America

High-impact AI solutions to global challenges are within reach. Here’s how Massachusetts’ big bet on equity and collaboration helps. By Orran Krieger Opportunities for AI development in open source got a big boost in December when Massachusetts Governor Maura Healey...

New solutions for drug discovery: harnessing the power of open cloud and open source AI

Blog

By Gagan Kumar The convergence of open source technology and artificial intelligence is transforming drug discovery, introducing new standards of transparency, collaboration, and innovation. On October 30th, leaders from research, industry, and academia gathered at...

AI for Drug Discovery Open Innovation Forum

For AI technologies to be safe and responsible, they must be developed in the open. This is particularly true in healthcare, where the need for transparency, flexibility, and broad accessibility demands an open approach. To help meet this need, Red Hat joins Boston...

Red Hat EU research partnerships accelerate innovation in the IoT-cloud-edge continuum

Europe, Featured News, News

AI, cloud-edge environments, and wireless networks are strategic priorities for open source projects supported by Horizon Europe, a grant program that facilitates collaboration among industry, academia, and research centers to solve global challenges. Red Hat Research...