🚀 Introducing UXL AI & Scientific Computing SIG: Expanding into AI for Science
The UXL Foundation is excited to announce that the AI Special Interest Group (SIG) is evolving into the AI & Scientific Computing SIG, expanding its scope to include scientific frameworks and AI for Science.
- This evolution reflects the growing convergence of AI-driven methods and scientific computing workflows, enabling innovation across simulation, modelling, and data-driven discovery on modern heterogeneous computing platforms.
- This SIG, led by Google, Fujitsu, and Intel, will focus on:
- Driving technical discussions and knowledge sharing on AI frameworks and Scientific Computing, with UXL software serving as the foundation for scientific frameworks and applications.
- Acting as a bridge between scientific R&D communities and developers to foster collaboration and innovation
- Host regular meetings to share community proposals, case studies, technical advancements, challenges, and contributions, and provide feedback and requirements to guide UXL component development
- Identifying common patterns and requirements in scientific computing and aligning them with AI Surrogate Models & Frameworks
👥 The AI & Scientific Computing SIG is led by Chairs Penporn Koanantakool (Google) and Priyanka Sharma (Fujitsu), along with Co-Chairs Jian Hui Li (Intel) and Ragesh Hajela (Fujitsu).
Archived meeting notes from oneAPI AI Tab meetings held under the oneAPI Community Forum can be found here