Información de la conferencia

ICIAI 2026: International Conference on Innovation in Artificial Intelligence

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Día de Entrega:
2026-03-01 Extended
Fecha de Notificación:
2026-04-01
Fecha de conferencia:
2026-04-11
Ubicación:
Tokyo, Japan
Ediciones:
10
Vistas: 24274   Seguidores: 32   Asistentes: 10

Solicitud de Artículos

ICIAI 2026 (International Conference on Innovation in Artificial Intelligence) is an academic conference held in Tokyo, Japan on 2026-04-11. The paper submission deadline is 2026-03-01 (extended). Acceptance notifications are sent on 2026-04-01.

Aims and Scope 2026 the 10th International Conference on Innovation in Artificial Intelligence (ICIAI 2026) has established itself as the world’s premier research conference in Artificial Intelligence. It provides an international forum for presentation of original research results, as well as exchange and dissemination of innovative and practical development experiences. ICIAI draws researchers, application developers, and practitioners from a wide range of Artificial Intelligence related areas of the conference seeks to advance the state-of-the-art in Artificial Intelligence. Topics of Interest Topics of interest include, but are not limited to: Core AI & Technology Artificial Intelligence and Technology Supervised and Unsupervised Learning Neural Network Theory and Architectures Knowledge Engineering Expert Systems Machine Learning & Data Science Natural Language Processing (NLP) Computer Vision Data Mining Rough Sets Theory: Foundations and Applications Intelligent Systems & Optimization Robotics and Related Fields Multi-agent Systems Distributed Intelligent Processing Artificial Intelligence in Scheduling and Optimization Evolutionary Scheduling and Optimization Computational Intelligence & Fuzzy Systems Fuzzy Logic Fuzzy Control Fuzzy Optimization Theory of Evolutionary Algorithms Parallel Computing & Hardware Concurrent and Parallel Processing Hardware Implementations (e.g., AI accelerators) Applied AI Domains Bioinformatics Artificial Intelligence in Modeling and Simulation
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