Call for Submissions

Abstract submissions are now closed.

Abstract submissions for the AI4X – Accelerate Conference 2026 have closed. Thank you to all contributors who submitted abstracts for poster and oral presentations.

For tutorial submissions, please visit this page for more information.

Key Dates

Submissions open
01 December 2025
Submission deadline (CLOSED)
28 February 2026 23:59 AoE (UTC-12)
Decision notification
March 2026

Subject Areas

Including, but not limited to:

• Physics
• Chemistry
• Materials Science
• Pure Mathematics
• Unconventional Computing (quantum, probabilistic, neuromorphic...)
• Self-driving Labs
• Agents and Autonomous AI Researchers
• Biology
• Medicine and Healthcare
• Earth Science
• Urban & Sustainability
• Cybersecurity
• Education
• Economics
• Finance
• Policymaking & Governance
• Ethical Approaches to AI

In addition to new AI methods and domain results obtained with AI, we also welcome works that present datasets, benchmarks, or software.

Submission Instructions

Abstracts were submitted via OpenReview. Submission required an OpenReview account. Profiles created without an institutional email can undergo a moderation process that may take up to two weeks.

There were two submission options:

1. Previously published work
Papers published in a peer-reviewed venue on or after 1 September 2025 were eligible via a camera-ready PDF. Preprints, workshop papers, and non-archival work were not submitted under this option.

2. Unpublished research
Work in progress was welcome. Submissions followed the official templates ( LaTeX, Word, Overleaf ) and did not exceed the 2-page limit.

Review

Reviews are single-blind: authors’ identities are visible to reviewers, while reviewers remain anonymous. Reviews are not published. Those interested in reviewing may apply via this form.

The conference programme will be published on OpenReview, including accepted abstract PDFs. Due to copyright restrictions, the full texts of journal articles will not be published; they will be referenced by DOI/URL. Rejected and withdrawn submissions will not be made public.

Dual Submission Policy

Eligible works include unpublished submissions, works under review elsewhere, or papers published in a peer-reviewed archival venue on or after 1 September 2025. Preprints and workshop papers (e.g., NeurIPS/ICML/ICLR workshops) are considered non-archival and are eligible.

Use of Large Language Models (LLMs)

The use of LLMs is permitted as a general-purpose tool. Authors and reviewers bear full responsibility for all content submitted under their name, including text generated by LLMs. LLMs cannot be credited as authors and must not be used in ways that constitute plagiarism or scientific misconduct.

Have Questions?

For any questions not answered on this page, please contact the programme committee at info@ai4x.cc.