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

AIMLDL 2026

Date of beginning

Thursday, 16 July 2026

Duration

2 days

Deadline for abstracts

Saturday, 16 May 2026

City

London

Country

United Kingdom

Contact

AIMLDL 2026

E-Mail

This email address is being protected from spambots. You need JavaScript enabled to view it.

Expected participants

100

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 TheoryOptimization Methods for AI and MLProbabilistic Reasoning and Graphical ModelsFuzzy Logic, Rough Sets, and Uncertainty ModelingEvolutionary Computation and Swarm IntelligenceNeuro Symbolic AI and Logic Guided LearningAI for Law, Policy, and Regulatory ReasoningMachine Learning and Data Centric AI Supervised, Unsupervised, and Semi Supervised LearningData Centric AI, Data Quality Engineering, and Data GovernanceAutomated Machine Learning (AutoML) and Meta LearningEnsemble Learning and Hybrid Learning MethodsLearning with Imbalanced, Noisy, or Limited DataContinual Learning and Lifelong LearningCausal AI, Causal Discovery, and Counterfactual ReasoningDeep Learning and Neural Architectures Deep Neural Networks, Transformers, and Modern ArchitecturesFoundation Models and Large Scale Pretrained ModelsEfficient 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 ArchitecturesGenerative AI and Autonomous AI Agents Generative Models (GANs, VAEs, Diffusion Models)Large Language Models (LLMs) and Multimodal Foundation ModelsRetrieval Augmented Generation (RAG) and Vector SearchAutonomous AI Agents and Agentic WorkflowsMulti Agent Systems and Collaborative AIPrompt Engineering and AI Driven ReasoningHallucination Mitigation, Guardrails, and Safety LayersAI Generated Content Detection, Watermarking, and ProvenanceReinforcement Learning and Decision Making Deep Reinforcement LearningMulti Agent Reinforcement LearningOffline and Batch RLSafe, Robust, and Explainable RLPlanning, Reasoning, and Sequential Decision MakingNatural Language Processing and Speech Technologies Transformer Based NLP and Sequence ModelingInformation Extraction, Text Mining, and Semantic UnderstandingConversational AI, Dialogue Systems, and ChatbotsSpeech Recognition, Speech Synthesis, and Audio ProcessingMultilingual, Low Resource, and Cross Lingual NLPComputer Vision and Visual Intelligence Image Recognition, Object Detection, and Scene UnderstandingVideo Analytics, Action Recognition, and Video Generation3D Vision, AR/VR, and Spatial ComputingVision Language Models and Multimodal PerceptionVisual Information Processing and Multimedia AIAI for Cybersecurity and Trustworthy AI AI Driven Threat Detection and Cyber DefenseAdversarial Machine Learning and RobustnessPrivacy Preserving AI (Federated Learning, Differential Privacy)Explainable AI (XAI), Fairness, and Responsible AIAI Safety, Alignment, and GovernanceAI Risk Management and Compliance EngineeringAI Systems, Platforms and Deployment AI on Cloud, Edge, and IoT PlatformsDistributed AI Systems and Scalable ML InfrastructureMLOps, Model Deployment, Monitoring, and Lifecycle ManagementML System Observability, Drift Detection, and AI Incident ResponseReal Time AI, Embedded AI, and Resource Constrained InferenceAI Hardware Acceleration (GPUs, TPUs, Neuromorphic Computing)Robotics, Embodied AI and Intelligent Control Robot Learning and Embodied AISim to Real Transfer and Autonomous NavigationIntelligent Control Systems and Decision MakingHuman Robot Interaction and Collaborative RoboticsSensor Fusion and Perception for RoboticsApplied AI and Domain Specific Intelligence Bioinformatics, Biometrics, and Computational BiologyAI for Healthcare, Medicine, and Drug DiscoveryFinancial AI, Risk Modeling, and Algorithmic TradingBusiness Analytics, Decision Intelligence, and Predictive ModelingGeo Informatics, Environmental AI, and Climate ModelingLogistics, Supply Chain Optimization, and Smart ManufacturingRecommendation Systems and PersonalizationAI for Education, Smart Cities, and Social GoodAI for Sustainability, Energy Systems, and Climate ActionAI for Science (Physics, Chemistry, and Materials Science)Paper Submission Authors are invited to submit papers through the conference Submission System by May 16, 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 DatesSecond Batch : submissions after April 06, 2026 Submission Deadline : May 16, 2026Authors Notification : June 20, 2026Registration & Camera-Ready Paper Due : June 27, 2026Contact 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.