Conference Information

AIxSET 2026: AIx Science, Engineering, and Technology

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Submission Date:
2026-07-01
Notification Date:
2026-08-01
Conference Date:
2026-09-28
Location:
Laguna Hills, California, USA
Viewed: 3908   Tracked: 0   Attend: 0
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AIxSET
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Conference Partner Index (CP-I)

44.1 / 100
Ranked #3,211 of 5,693 conferences · Top 57%
Limited evidence: this conference is not listed in CCF / ICORE / QUALIS and has no acceptance-rate data on file, so most of the score falls back to the neutral baseline.
Academic recognition (35%) No data - scored at the neutral baseline of 50 —
Submission selectivity (20%) No data - scored at the neutral baseline of 50 —
Editions held (20%) No data - scored at the neutral baseline of 50 —
Community attention (10%)
13
Public record completeness (15%)
35

Inputs used: Researchers who opened this page in the past 24 months: 5

Missing from the public record: Historical acceptance rates (+4.5) · Past editions (+3.0) · Best-paper records (+2.3)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 25% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.1 · Computed 2026-10-05

Call For Papers

AIxSET 2026 (AIx Science, Engineering, and Technology) is an academic conference held in Laguna Hills, California, USA on 2026-09-28. The paper submission deadline is 2026-07-01. Acceptance notifications are sent on 2026-08-01.

With rapid advancements in Artificial Intelligence (AI), now is the ideal time to explore its broader impact on science, engineering, and technology—and how these fields, in turn, drive AI innovation. Artificial Intelligence x Science, Engineering, and Technology (AIxSET) is an international forum that brings together academia and industry to exchange ideas, share cutting-edge research, and identify emerging trends. The conference fosters interdisciplinary collaboration to define the synergies between AI and various scientific and engineering disciplines. Topics of Interest Scientific and Engineering Fields Enhanced by AI: Exploring how AI can assist research and applications in areas such as: Biological Sciences Chemistry Earth, Planetary, and Space Sciences Mathematics & Statistics Physical & Social Sciences Electrical, Mechanical, and Civil Engineering AI Advancements Driven by Science and Technology: Investigating how research in these fields contributes to AI development, including: Generative AI Transformer-Based Technologies Agent Technology Semantic Computing Business Intelligence Machine Learning Knowledge & Data Engineering Scalability & AI Platforms We also encourage discussions on real-world AI applications as a challenge for participants.
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