会议信息

AIxSET 2026: AIx Science, Engineering, and Technology

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截稿日期:
2026-07-01
通知日期:
2026-08-01
会议日期:
2026-09-28
会议地点:
Laguna Hills, California, USA
浏览: 3911   关注: 0   参加: 0
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AIxSET
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会伴指数 (CP-I)

44.1 / 100
全站第 3,211 名 / 共 5,693 个会议 · 前 57%
证据有限:这个会议不在 CCF / ICORE / QUALIS 任何一份榜单里,也没有录用率数据,因此分数的大部分回落到了中性基准。
学术认可 (35%) 无数据 —— 按中性基准 50 分计入 —
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入 —
会议传承 (20%) 无数据 —— 按中性基准 50 分计入 —
社区关注 (10%)
13
资料公开度 (15%)
35

用到的输入: 过去 24 个月打开过本页的研究者:5 人

公开资料里还缺: 历年录用率 (+4.5) · 历届信息 (+3.0) · 最佳论文记录 (+2.3)
主办方认领本会议后,可直接在这一页补上;分数每晚重算。如何提升这个分数

置信度 25% —— 分数中有多大比例来自实际观测到的数据,而不是中性基准。 这个分数是怎么算出来的 · 查看完整榜单 · 算法版本 1.1 · 算于 2026-10-05

征稿

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.
由 Dou Sun 最后更新于

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