7th International Conference on AI, Machine Learning and Deep Learning (AIMLDL 2026)

Memo

7th International Conference on AI, Machine Learning and Deep Learning (AIMLDL 2026) July 16 ~ 17, 2026, London, United Kingdom https://nlpd2026.org/arit/index Scope The 7th International Conference on AI, Machine Learning and Deep Learning (AIMLDL 2026) invites high quality research contributions from academia, industry, and government organizations. AIMLDL 2026 serves as a premier international forum for presenting cutting edge advances in Artificial Intelligence, Machine Learning, Deep Learning, Generative AI, Autonomous Agents, Foundation Models, and emerging intelligent systems. As AI continues to transform science, industry, and society, AIMLDL 2026 aims to bring together leading researchers, practitioners, and innovators to exchange ideas, discuss breakthroughs, and explore the future of intelligent technologies. The conference welcomes original research papers, survey articles, case studies, and industrial applications that demonstrate significant advances in theory, methodology, algorithms, systems, and real world deployments. Authors are invited to submit papers in the following areas, but not limited to: Topics of interest Foundations of Artificial Intelligence   AI Algorithms, Models, and Theory Optimization Methods for AI and ML Probabilistic Reasoning and Graphical Models Fuzzy Logic, Rough Sets, and Uncertainty Modeling Evolutionary Computation and Swarm Intelligence Neuro Symbolic AI and Logic Guided Learning AI for Law, Policy, and Regulatory Reasoning Machine Learning and Data Centric AI Supervised, Unsupervised, and Semi Supervised Learning Data Centric AI, Data Quality Engineering, and Data Governance Automated Machine Learning (AutoML) and Meta Learning Ensemble Learning and Hybrid Learning Methods Learning with Imbalanced, Noisy, or Limited Data Continual Learning and Lifelong Learning Causal AI, Causal Discovery, and Counterfactual Reasoning Deep Learning and Neural Architectures Deep Neural Networks, Transformers, and Modern Architectures Foundation Models and Large Scale Pretrained Models Efficient Deep Learning (Pruning, Quantization, Distillation) Neural Architecture Search (NAS) Multimodal Deep Learning (Vision Language Audio) Graph Neural Networks (GNNs) Neuroscience Inspired AI and Brain Inspired Architectures Generative AI and Autonomous AI Agents   Generative Models (GANs, VAEs, Diffusion Models) Large Language Models (LLMs) and Multimodal Foundation Models Retrieval Augmented Generation (RAG) and Vector Search Autonomous AI Agents and Agentic Workflows Multi Agent Systems and Collaborative AI Prompt Engineering and AI Driven Reasoning Hallucination Mitigation, Guardrails, and Safety Layers AI Generated Content Detection, Watermarking, and Provenance Reinforcement Learning and Decision Making Deep Reinforcement Learning Multi Agent Reinforcement Learning Offline and Batch RL Safe, Robust, and Explainable RL Planning, Reasoning, and Sequential Decision Making Natural Language Processing and Speech Technologies Transformer Based NLP and Sequence Modeling Information Extraction, Text Mining, and Semantic Understanding Conversational AI, Dialogue Systems, and Chatbots Speech Recognition, Speech Synthesis, and Audio Processing Multilingual, Low Resource, and Cross Lingual NLP Computer Vision and Visual Intelligence Image Recognition, Object Detection, and Scene Understanding Video Analytics, Action Recognition, and Video Generation 3D Vision, AR/VR, and Spatial Computing Vision Language Models and Multimodal Perception Visual Information Processing and Multimedia AI   AI for Cybersecurity and Trustworthy AI AI Driven Threat Detection and Cyber Defense Adversarial Machine Learning and Robustness Privacy Preserving AI (Federated Learning, Differential Privacy) Explainable AI (XAI), Fairness, and Responsible AI AI Safety, Alignment, and Governance AI Risk Management and Compliance Engineering AI Systems, Platforms and Deployment AI on Cloud, Edge, and IoT Platforms Distributed AI Systems and Scalable ML Infrastructure MLOps, Model Deployment, Monitoring, and Lifecycle Management ML System Observability, Drift Detection, and AI Incident Response Real Time AI, Embedded AI, and Resource Constrained Inference AI Hardware Acceleration (GPUs, TPUs, Neuromorphic Computing) Robotics, Embodied AI and Intelligent Control Robot Learning and Embodied AI Sim to Real Transfer and Autonomous Navigation Intelligent Control Systems and Decision Making Human Robot Interaction and Collaborative Robotics Sensor Fusion and Perception for Robotics Applied AI and Domain Specific Intelligence Bioinformatics, Biometrics, and Computational Biology AI for Healthcare, Medicine, and Drug Discovery Financial AI, Risk Modeling, and Algorithmic Trading Business Analytics, Decision Intelligence, and Predictive Modeling Geo Informatics, Environmental AI, and Climate Modeling Logistics, Supply Chain Optimization, and Smart Manufacturing Recommendation Systems and Personalization AI for Education, Smart Cities, and Social Good AI for Sustainability, Energy Systems, and Climate Action AI for Science (Physics, Chemistry, and Materials Science)   Paper Submission Authors are invited to submit papers through the conference Submission System by April 25, 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 Computer Science Conference Proceedings (H index 46) in Computer Science & Information Technology (CS & IT) series (Confirmed). Selected papers from AIMLDL 2026, after further revisions, will be published in the special issue of the following journals International Journal of Artificial Intelligence & Applications (IJAIA) International Journal of Fuzzy Logic Systems (IJFLS) International Journal on Soft Computing, Artificial Intelligence and Applications (IJSCAI) International Journal on Soft Computing ( IJSC ) Information Technology in Industry (ITII) Important Dates Submission Deadline :  April 25, 2026 Authors Notification : June 20, 2026 Registration & Camera-Ready Paper Due : June 27, 2026 Contact Us Here’s where you can reach us : This email address is being protected from spambots. You need JavaScript enabled to view it. or This email address is being protected from spambots. You need JavaScript enabled to view it.