ETP4HPC SRA 6 White Paper - AI and Foundational Models
Authors/Creators
-
1.
Universidad Politécnica de Madrid
- 2. HypeAccelerator Solutions Ltd
-
3.
Science and Technology Facilities Council
-
4.
Barcelona Supercomputing Center
-
5.
Atomic Energy and Alternative Energy Commission (headquarter)
- 6. Netherlands Organisation for Applied Scientific Research - TNO
-
7.
VSB - Technical University of Ostrava
Description
This is a white paper released as part of the ETP4HPC’s Strategic Research Agenda 6.
This white paper focuses on the theme of AI and Foundation Models, providing a comprehensive overview of the current landscape and future direction of AI technologies, as they relate to supercomputing. Its objective is to guide the future of AI research and development, ensuring that frontier models continue to evolve and benefit various sectors while addressing ethical, environmental, and technical challenges.
We explore the dynamic and rapidly evolving landscape of Artificial Intelligence (AI) with a focus on foundation models. These models, which form the backbone of numerous AI applications, are pivotal in driving advancements across various sectors; from healthcare and education to industry and quantum computing. Finally, we describe the key thematic areas of frontier models and our recommended approach to developing comprehensive and impactful datasets and benchmarks for these.