About us

AIAS 2026 focuses on transformative AI innovations that expand the boundaries of scientific discovery, from models that support prediction, interpretation, and simulation to systems that enable reasoning, hypothesis generation, and experimental discovery. The conference explores how core advancements in artificial intelligence are accelerating progress in science across disciplines.

Important Dates

Tue, Jun 30, 2026
Paper Submission Deadline
Sat, Aug 15, 2026
Notification of Acceptance
Mon, Sep 7, 2026
Camera Ready Deadline

Call For Paper

Reliability
Hypothesis generation
Ai systems
Evaluation
Foundational and frontier AI methods for scientific discovery
Scientific reasoning, inference, and decision-making
Hypothesis generation and discovery-oriented modeling
AI for simulation, prediction, and interpretation in science
Research process automation, including literature synthesis, data analysis, and experimental design
AI systems for biology, chemistry, physics, medicine, engineering, and related fields
Benchmarks, evaluation methods, and infrastructure for AI-accelerated science
Reliability, robustness, safety, and human oversight in scientific AI systems

We invite submissions that explore how core advancements in artificial intelligence are accelerating progress in science. We welcome work across disciplines that advances AI as an increasingly active partner in the scientific process. We encourage submissions from researchers working at the intersection of AI and the physical, life, and applied sciences. Submissions include full research papers (6–8 pages), short papers (2–4 pages), extended abstracts (up to 2 pages), and vision or position papers (up to 4 pages).