Call for Papers!
Join us in San Francisco at AIAS 2025, for the first annual “Chen Institute Symposium for AI Accelerated Science” October 27-28th where our 2024 AI Prize winners will present their work alongside Nobel Laureates Jennifer Doudna and David Baker, industry luminaries and well-known academia.
Deadline: August 1st
This call for papers invites submissions that explore how core advancements in AI are accelerating progress in science. This call focuses on transformative AI innovations that enable new modes of inquiry, hypothesis generation, and experimentation across scientific disciplines.
- Foundational Models: Research on large-scale, pre-trained models that serve as general-purpose engines for scientific reasoning, prediction, and simulation
- Long-Term Memory Mechanisms: Innovations in memory architectures that enable persistent knowledge representation, context retention, and lifelong learning in AI systems
- Synthetic Data Generation: Novel techniques for creating high-fidelity synthetic datasets that augment or replace empirical data in research pipelines
- Research Process Automation: AI tools and frameworks that automate experimental design, data analysis, literature synthesis, or other components of the scientific workflow
We encourage submissions from researchers working at the intersection of AI and the physical or life sciences, including but not limited to biology, chemistry, physics, medicine, and engineering.
Selected papers will be presented at the conference, where authors will join a dynamic community shaping the future of AI accelerated science.