Conference Information

ICTAI 2026: International Conference on Tools with Artificial Intelligence

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Submission Date:
2026-06-30 Due in 14 days
Notification Date:
2026-09-10
Conference Date:
2026-11-02
Location:
Boca Raton, Florida, USA
Years:
38
CCF: c   CORE: b   QUALIS: a2   Viewed: 443195   Tracked: 283   Attend: 88

Call For Papers

ICTAI 2026 (International Conference on Tools with Artificial Intelligence) is a CCF C / CORE B / QUALIS A2 conference held in Boca Raton, Florida, USA on 2026-11-02. The paper submission deadline is 2026-06-30. Acceptance notifications are sent on 2026-09-10.

Conference Categories AI Foundations Evolutionary computing, Bayesian and Neural Networks Decision/Utility Theory and Decision Optimization Search, SAT, and CSP Description Logic and Ontologies AI in Domain-specific Applications AI in Computational Biology, Medicine and Biomedical Applications AI in WWW, Communication, Social Networking, Recommender Systems, Games and E-Commerce AI in Finance and Risk Management AI in Computer Systems AI in Robotics, Computer Vision and Games AI in Natural Language Processing AI in Software Engineering, Real-Time and Embedded Applications, and Sensor Networks AI in Cloud Computing, Data-Intensive Applications and Online/Streaming and Multimedia Systems AI in Web Search and Information Retrieval AI in Computer Security, Data Privacy, and Information Assurance AI in Data Analytics and Big Data Visual Analytics for Big Data Computational Modeling for Big Data Large-scale Recommendation and Social Media Systems Cloud/Grid/Stream Data Mining for Big Velocity Data Semantic-based Big Data Mining AI in Smart Cities Healthcare, Traffic, Transportation, Environment, etc. AI Synergistic models Bridging AI Models for Advanced AI. AI and Societal Impact AI Fairness, Accountability and Transparency AI interpretability and explainability Ethical and Trustworthy AI Machine Learning Dimension Reduction and Feature Selection computing Learning Graphical Models and Complex Networks Active, Cost-Sensitive, Semi-Supervised, Multi-Instance, Multi-Label and Mulit-Task Learning Transfer/Adaptive, Rational and Structured Learning Preference/Ranking, Ensemble, and Reinforcement Learning Learn continuous-Incremental Learning Knowledge Representation, Reasoning and Cognitive Modelling Knowledge Representation, Reasoning Knowledge Extraction, Management and Sharing Case-based Reasoning and Knowledge-based Systems Cognitive Modelling and Semantic Web AI and Decision Systems Decision Guidance and Support Systems Optimization-based Recommender Systems Group, Distributed, and Collaborative Decisions Crowd-sourcing and Collective Intelligence Decision-making Strategic, Tactical and Operational-level Decisions Decision-making in Social and Mobile Networks Uncertainty in AI Uncertainty and Fuzziness Representation and Reasoning Approximate/Exact Probabilistic Inference Knowledge Discovery and Data Mining for Uncertain Natural Language Processing Natural Language Processing/Understanding Large language models Dialogue systems and digital assistants/chatbots AI in Quantum Computing and Systems Quantum machine learning (QML), hybrid quantum–classical AI Variational quantum algorithms (e.g., QAOA, VQE) for AI tasks AI for quantum system design, control, and error mitigation AI for distributed and networked quantum Benchmarking and evaluation of quantum AI systems
Last updated by Dou Sun on

Acceptance Ratio

Average acceptance rate: 35% over 1 years (2006–2006).

YearSubmittedAcceptedAccepted(%)
20062408435%

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