AMD and Imperial College London Partner on AI Research Infrastructure
AMD and Imperial College London announced a strategic collaboration on June 8 to advance AI-enabled scientific research and computing infrastructure across the United Kingdom. The partnership will focus on applying accelerated computing and open-source software to research challenges in engineering, healthcare, climate science, genomics, and materials discovery.
The two organizations will work to optimize AI models and scientific workflows on AMD's compute platforms and ROCm open software. Imperial's research teams will gain access to AMD's hardware and expertise, while AMD gains insight into how its technology performs on real-world research problems across multiple disciplines.
Research Focus Areas
The collaboration targets computational research in several fields:
- Engineering design and multiphysics simulation
- Materials discovery
- Climate and earth system modeling
- Neuroscience and brain imaging
- Epidemiology and biosecurity
- Genomics and computational biology
AMD CEO Lisa Su said the partnership combines "AMD leadership in AI and HPC platforms with Imperial's globally recognized research and innovation ecosystem" to help researchers tackle larger problems and develop next-generation AI talent.
Education and Workforce Development
Beyond research, AMD and Imperial plan joint initiatives in education and workforce development. The organizations will offer students, researchers, startups, and innovators access to computing resources, software environments, and technical expertise through workshops, seminars, internships, and pilot programs.
These activities will operate across Imperial's WestTech London innovation ecosystem, which spans four locations: South Kensington, Paddington Life Sciences, the White City Innovation District, and Old Oak Innovation Cluster.
Hugh Brady, president of Imperial College London, said the partnership "creates new opportunities to expand access for researchers, students and innovators to advanced AI and accelerated computing infrastructure."
Sovereign AI Infrastructure
The collaboration reflects both organizations' commitment to building independent AI capabilities within the U.K. and supporting open, interoperable computing systems. U.K. Science Minister Lord Vallance said the partnership will "combine world-class computing and AI expertise with engineering and research to help tackle some of the toughest challenges we face, from healthcare to our changing climate."
For researchers looking to build skills in this area, AI for Science & Research courses cover research automation and scientific discovery applications relevant to this type of work.
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