Call for Papers

ICAMI solicits original, high-quality contributions on applied machine intelligence: methods, systems, and deployments with clear motivation, rigorous evaluation, and real-world relevance.

Scope and topics

Submissions may report theoretical advances when tightly connected to application, or systems and empirical work with reproducible evidence. Surveys and position papers are welcome when they offer a unifying view or identify open challenges with actionable research directions.

Tracks

Papers should select the closest track at submission time; the program committee may suggest recategorization after acceptance.

• General, Trustworthy, and Autonomous Intelligence

  • General-purpose learning architectures
  • Autonomous decision-making systems
  • Self-supervised, lifelong, and meta-learning
  • Cognitive architectures and reasoning systems
  • Multi-agent intelligence and coordination
  • Embodied intelligence and adaptive agents
  • Planning, reasoning, and problem-solving systems
  • Explainable and interpretable AI
  • Fairness, bias detection, and mitigation
  • Ethical AI and governance frameworks
  • Causal reasoning and transparency in AI
  • Privacy-preserving and secure AI
  • Robustness, uncertainty, and reliability in AI systems
  • AI safety, alignment, and responsible deployment

• Generative, Quantum, and Scalable Intelligence

  • Large Language Models and foundation models
  • Multimodal generative systems
  • Retrieval-augmented generation (RAG)
  • Agentic AI and tool-augmented systems
  • Hallucination mitigation and controllability
  • Efficient and low-resource generative models
  • Synthetic data generation and augmentation
  • Quantum machine learning algorithms
  • Quantum neural networks and hybrid systems
  • Quantum optimization and reinforcement learning
  • Scalable AI systems and architectures
  • Distributed and high-performance AI systems
  • Energy-efficient and resource-aware AI
  • Green AI and sustainable model training
  • Resilient AI systems under constraints and failures

• AI for Healthcare and Intelligent Medical Systems

  • AI for medical imaging and diagnostics
  • Clinical decision support systems
  • Remote monitoring and digital health
  • AI in bioinformatics and precision medicine
  • AI-driven healthcare analytics and prediction
  • Intelligent medical devices and systems

• AI for Industry, Infrastructure, and Smart Systems

  • Smart manufacturing and Industry 4.0
  • Predictive maintenance and fault detection
  • Digital twins and simulation systems
  • Intelligent transportation systems
  • AI for IoT and cyber-physical systems
  • AI for energy management and smart grids
  • AI for agriculture and smart farming
  • AI for business intelligence and real-world deployment

Submission guidelines

All submissions must be prepared in English. Papers will undergo a double-blind review: omit author names and affiliations from the manuscript and anonymize self-references where possible. Supplementary material may be provided when it supports reproducibility; it will be reviewed at the discretion of the committee.

Review process

Each paper receives at least three independent reviews. Area chairs oversee consistency and borderline decisions; program chairs make final acceptance choices with attention to diversity of topics and quality across tracks.

Publication

Accepted papers will be published in the official ICAMI 2026 proceedings and indexed in the IEEE Xplore Digital Library. Publication details will be confirmed in the acceptance notification.

Formatting

Formatting templates and page limits will be linked from the Submission page once camera-ready instructions are finalized. Please use the official template only; non-compliant submissions may be rejected without review.

Questions? Contact the organizing team at the email listed in the site footer.