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NLAIM 2026 : 3rd International Conference on NLP, Artificial Intelligence, Machine Learning and Applications

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Link: https://nlaim2026.org/
 
When Sep 26, 2026 - Sep 27, 2026
Where Vancouver, Canada
Submission Deadline Jul 18, 2026
Notification Due Aug 25, 2026
Final Version Due Sep 1, 2026
Categories    artificial intelligence   soft computing   NLP   pattern recognition
 

Call For Papers

3rd International Conference on NLP, Artificial Intelligence, Machine Learning and Applications (NLAIM 2026)

September 26 ~ 27, 2026, Toronto, Canada

Scope & Topics

3rd International Conference on NLP, Artificial Intelligence, Machine Learning and Applications (NLAIM 2026) offers a premier global platform for presenting and exchanging cutting edge research, theoretical insights, advanced methodologies and impactful applications across the rapidly evolving fields of Natural Language Processing, Artificial Intelligence and Machine Learning . As intelligent systems continue to reshape scientific discovery, industry innovation and societal transformation, NLAIM 2026 brings together leading researchers, practitioners and technologists to share breakthroughs, discuss emerging challenges and explore the future of AI driven technologies.

NLAIM With a strong emphasis on bridging theory and practice,. NLAIM 2026 encourages submissions that demonstrate both fundamental advancements .and real world implementations. The conference serves as a nexus for collaboration between academia and industry, fostering dialogue on practical deployments, industrial case studies and innovative applications of NLP, AI and ML in domains such as healthcare, finance, cybersecurity, robotics and intelligent systems.

Authors are invited to submit high quality articles presenting research results, experimental studies, survey papers, industrial experiences.

Topics of interest include, but are not limited to, the following

  • AI Ethics, Governance, Safety and Alignment
  • Deep Learning Architectures and Representation Learning
  • Automated Machine Learning (AutoML)
  • Graph Machine Learning and GNNs
  • Reinforcement Learning and Multi Agent RL
  • Continual, Lifelong and Meta Learning
  • Causal ML, Interpretability and Counterfactual Reasoning
  • Federated, Distributed and Privacy Preserving ML
  • Mixture of Experts (MoE), Sparse Models and Dynamic Routing
  • Speculative Decoding, Fast LLM Inference and Model Optimization
  • Neural Search, Dense Retrieval and Ranking Models
  • Hybrid Retrieval (Sparse + Dense + RAG)
  • Vector Databases and Semantic Indexing
  • Conversational Search and Interactive IR
  • Vision Transformers and Modern CV Architectures
  • Neural Fields (NeRFs, Gaussian Splatting) and 3D Reconstruction
  • Embodied AI, Robot LLM Integration and VLA Models
  • Multimodal Fusion and Cross Modal Reasoning
  • LLM Jailbreak Prevention, Watermarking and Model Provenance
  • AI Ethics, Governance, Safety and Alignment
  • Deep Learning Architectures and Representation Learning
  • Automated Machine Learning (AutoML)
  • Graph Machine Learning and GNNs
  • Reinforcement Learning and Multi Agent RL
  • Continual, Lifelong and Meta Learning
  • Causal ML, Interpretability and Counterfactual Reasoning
  • Federated, Distributed and Privacy Preserving ML
  • Mixture of Experts (MoE), Sparse Models and Dynamic Routing
  • Speculative Decoding, Fast LLM Inference and Model Optimization
  • Neural Search, Dense Retrieval and Ranking Models
  • Hybrid Retrieval (Sparse + Dense + RAG)
  • Vector Databases and Semantic Indexing
  • Conversational Search and Interactive IR
  • Vision Transformers and Modern CV Architectures
  • Neural Fields (NeRFs, Gaussian Splatting) and 3D Reconstruction
  • Embodied AI, Robot LLM Integration and VLA Models
  • Multimodal Fusion and Cross Modal Reasoning
  • LLM Jailbreak Prevention, Watermarking and Model Provenance
Paper Submission

Authors are invited to submit papers through the conference Submission System by July 18, 2026. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference.The proceedings of the conference will be published by The proceedings of the conference will be published by Computer Science Conference Proceedings in Computer Science & Information Technology (CS & IT) series (Confirmed).

Selected papers from NLAIM 2026, after further revisions, will be published in the special issue of the following journals.


Important Dates

Submission Deadline: July 18, 2026
Authors Notification: August 25, 2026
Final Manuscript Due: September 01, 2026

Co - Located Events

***** The invited talk proposals can be submitted to nlaim@nlaim2026.org

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