会议信息

iAIMS 2026: International Conference on Artificial Intelligence Models and Systems

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截稿日期:
2026-05-31 已截稿
通知日期:
2026-06-30
会议日期:
2026-11-16
会议地点:
Barcelona, Spain
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会伴指数 (CP-I)

44.0 / 100
全站第 3,328 名 / 共 5,763 个会议 · 前 58%

人工智能与机器学习 第 402 / 752

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%)
12
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：4 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 1.2 · 算于 2026-10-30

征稿

iAIMS 2026 (International Conference on Artificial Intelligence Models and Systems) is an academic conference held in Barcelona, Spain on 2026-11-16. The paper submission deadline is 2026-05-31 (extended). Acceptance notifications are sent on 2026-06-30.

The International Conference on Artificial Intelligence Models and Systems (AIMS 2026) is a lively and inclusive gathering where researchers, academics, and industry professionals from across the globe come together to explore the latest advancements in artificial intelligence and intelligent systems. As AI continues to reshape industries and push the boundaries of what’s possible, AIMS 2026 creates a welcoming space for innovation, collaboration, and the exchange of ideas. AIMS 2026 serves as a premier platform for researchers, academics, and industry professionals to converge and explore the latest advancements, challenges, and applications in the dynamic fields of rtificial Intelligence Models and Systems. The conference provides a collaborative environment for the exchange of ideas, fostering innovation and promoting interdisciplinary research at the intersection of these transformative domains. Prospective authors are invited to submit original technical papers using the Sparcly.ai link: Topics include (but are not limited to): AI Model Development Deep learning architectures Reinforcement learning algorithms Transfer learning and meta-learning Self-supervised learning Natural Language Processing (NLP) Large language models (LLMs) Text generation and summarization Sentiment analysis and emotion detection Machine translation and multilingual models Generative AI Generative adversarial networks (GANs) Diffusion models AI for creative applications (art, music, design) Synthetic data generation Explainable AI (XAI) Interpretability of AI models Transparent decision-making systems Human-AI collaboration and trust Ethical and accountable AI systems AI in Healthcare Medical image analysis AI for drug discovery and genomics Predictive analytics for patient care AI-powered diagnostics and treatment planning AI in Robotics Autonomous systems and self-learning robots Human-robot interaction Robotics for industrial and service applications Swarm intelligence and multi-agent systems AI for Sustainability Climate modeling and environmental monitoring AI for energy optimization and smart grids Sustainable agriculture and food systems AI-driven solutions for waste management Computer Vision Object detection and recognition Video analysis and action recognition 3D vision and augmented reality (AR) AI for facial recognition and biometrics AI for Social Good AI for disaster response and management AI in education and accessibility AI for poverty alleviation and social equity AI applications in humanitarian efforts Edge and Distributed AI Federated learning Edge AI for IoT devices AI in 5G/6G networks Decentralized AI systems AI Ethics and Governance Bias and fairness in AI systems Privacy-preserving AI Regulatory frameworks for AI AI accountability and transparency AI in Business and Industry AI for supply chain optimization Predictive maintenance and quality control AI-driven customer insights and personalization AI in finance and risk management AI and Cybersecurity AI for threat detection and prevention Adversarial machine learning AI in network security Privacy-enhancing technologies AI and Smart Cities AI for urban planning and infrastructure Intelligent transportation systems AI-powered public safety and surveillance Smart energy and resource management Quantum AI Quantum machine learning AI applications in quantum computing Hybrid quantum-classical algorithms AI and Human-Centered Design AI for user experience (UX) optimization Human-AI interaction and collaboration AI in gaming and entertainment AI for Big Data and Analytics AI-driven data mining and pattern recognition Real-time analytics and decision-making AI for large-scale data processing AI in Emerging Technologies AI in augmented reality (AR) and virtual reality (VR) AI for blockchain and decentralized systems AI in space exploration and satellite systems
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