All Abstracts, Reviews, short articles, Full articles, Posters are welcomed related with any of the following research fields: Core Methods & Learning Paradigms Machine Learning Supervised Learning Unsupervised Learning Reinforcement Learning Semi-Supervised & Self-Supervised Learning Deep Learning & Neural Architectures Convolutional Neural Networks Recurrent & Transformer Networks Generative Adversarial Networks Deep Reinforcement Learning Symbolic & Knowledge-Based AI Expert Systems Knowledge Graphs & Ontologies Automated Reasoning & Logic Programming Hybrid Systems Neuro-Symbolic AI Physics-Informed Machine Learning Perceptual & Cognitive AI Technologies Natural Language Processing & Generation Large Language Models Machine Translation Speech Recognition & Synthesis Sentiment Analysis & Text Mining Computer Vision & Image Processing Object Detection & Tracking Facial Recognition Image & Video Segmentation 3D Scene Reconstruction Robotics & Spatial AI Autonomous Navigation & SLAM Robotic Process Automation Kinematics & Manipulation Control Industry & Sector Applications Healthcare & Life Sciences Diagnostic Imaging Analysis Drug Discovery & Molecular Modeling Predictive Patient Analytics Personalized Medicine Finance & Commerce Algorithmic Trading Fraud Detection & Anti-Money Laundering Credit Risk Assessment Personalized Recommendation Engines Transportation & Logistics Autonomous Vehicles & Flight Systems Traffic Flow Optimization Supply Chain Forecasting Cybersecurity & IT Operations Threat Detection & Anomaly Recognition Automated Incident Response AI-Assisted Software Development Cross-Cutting Application Domains Edge & Embedded AI On-Device Inference Microcontroller Machine Learning Generative & Creative Technologies Synthetic Data Generation Automated Code Generation Multimodal Content Creation Ethics, Governance & Operational Control Explainable AI AI Safety & Alignment Bias Mitigation & Fairness Frameworks Interrelations Across Fields Deep Learning powers Computer Vision (via Convolutional Architectures) and Natural Language Processing (via Transformers), forming the underlying engines for industry solutions like Diagnostic Imaging in Healthcare and Autonomous Navigation in Transportation. Symbolic AI combines with Deep Learning to create Neuro-Symbolic AI, improving Explainable AI and adding safety constraints to domain applications such as Algorithmic Trading and Automated Incident Response. Edge AI optimizes Machine Learning models to run on physical hardware, enabling real-time execution in Robotics, On-Device Inference, and low-latency Cybersecurity Threat Detection