India, Oct. 20 -- Much of today's scientific progress begins with computation.

But, turning accelerated computing's potential into scientific progress - modeling climate systems, designing molecules, simulating materials and more - depends on more than breakthrough technology. Especially for smaller labs, early-career scientists or science-based startups, the hardest part of research can be everything that comes before the science: assembling tools, finding compute and building the expertise to use both.

At the AI in Science Summit in Dublin, the European Commission launched the AI in Science Enablers Initiative, a shared framework connected to RAISE - the Resource for AI Science in Europe - that brings private-sector support closer to ...