The Helmholtz Association is driving forward a range of AI-focused initiatives that bridge research, infrastructure, and collaboration, empowering science, industry, and society to harness the full potential of artificial intelligence.
AI Initiatives
From advancing trustworthy AI benchmarks to enabling secure model sharing, fostering high-performance computing access, and supporting industry collaborations, the Helmholtz Association and its platforms are building a vibrant AI ecosystem across Germany. These initiatives bring together researchers, companies, and policymakers to address complex challenges in health, energy, climate, and beyond. Whether through community-driven benchmarking calls, cloud-based AI model deployment, cutting-edge HPC gateways, or national AI service centers, Helmholtz is creating the tools, expertise, and infrastructure needed to accelerate AI innovation and translate it into real-world impact. Find out more about these initiatives below.
Who is it relevant for?
This initiative is relevant for AI researchers, data scientists, and domain experts across the Helmholtz Association and beyond, particularly those working with scientific data and interested in building or using benchmarking datasets to evaluate and improve AI models.
Who is it relevant for?
This initiative is relevant for Helmholtz researchers and AI practitioners who want to publish, test, or apply deep learning models in scientific workflows, particularly those looking for low-barrier, secure, and scalable ways to integrate AI into their research.
Who is it relevant for?
This initiative is relevant for companies, especially those working on AI, digital twins, or data-driven innovation, seeking access to advanced computing resources, expert support, and collaborative opportunities with leading research centers in Germany.
HPC Gateway builds on experience from previous projects such as the Smart Data Innovations Lab (SDIL) or the AI service centers and aims to implement such collaborations throughout Germany.
Who is it relevant for?
It is relevant for researchers, businesses, and especially small and medium-sized enterprises (SMEs) seeking access to high-performance AI resources, expertise, and support in developing, understanding, and integrating AI solutions into their operations.