Call for papers/Topics Full Articles/ Reviews/ Shorts Papers/ Abstracts are welcomed in the following research fields: Independent Topics Machine Learning (ML) Supervised Learning (Classification, Regression) Unsupervised Learning (Clustering, Dimensionality Reduction) Reinforcement Learning (Q-Learning, Policy Gradients, Reward Functions) Semi-Supervised and Self-Supervised Learning Ensemble Methods (Random Forests, Gradient Boosting) Deep Learning & Neural Networks Convolutional Neural Networks (CNNs) for Computer Vision Recurrent Neural Networks (RNNs) and LSTMs Transformer Architectures and Attention Mechanisms Generative Models (GANs, Diffusion Models, VAEs) Optimization Algorithms (SGD, Adam, Backpropagation) Natural Language Processing (NLP) Tokenization, Embedding, and Vector Spaces Large Language Models (LLMs) and Prompt Engineering Machine Translation and Text Summarization Sentiment Analysis and Opinion Mining Speech Recognition and Text-to-Speech Synthesis Computer Vision Image Processing and Feature Extraction Object Detection, Tracking, and Segmentation Facial Recognition and Biometrics 3D Scene Reconstruction and Spatial AI Robotics & Autonomous Systems Kinematics, Dynamics, and Control Systems Path Planning and Motion Control Simultaneous Localization and Mapping (SLAM) Sensor Fusion (LiDAR, Radar, Cameras) Interrelated Topics AI Ethics, Safety, & Governance Algorithmic Bias, Fairness, and Inclusivity AI Alignment and Value Alignment Problem Transparency, Explainability (XAI), and Interpretability Intellectual Property, Copyright, and Data Ownership Regulatory Frameworks and International Policy Cognitive Science & Neuroscience Neuromorphic Computing and Brain-Inspired Architecture Brain-Computer Interfaces (BCIs) Cognitive Modeling and Human Memory Systems Computational Neuroscience Cybersecurity & AI Adversarial Machine Learning and Data Poisoning AI-Driven Threat Detection and Incident Response Automated Vulnerability Discovery Deepfake Generation and Countermeasure Detection Healthcare & Bioinformatics Medical Image Analysis and Diagnostics Drug Discovery and Molecular Structure Prediction Genomics and Personalized Medicine Predictive Patient Outcomes and Health Monitoring Edge Computing & Hardware Acceleration Neural Processing Units (NPUs) and Tensor Processing Units (TPUs) Model Compression (Quantization, Pruning, Knowledge Distillation) On-Device AI Execution and Low-Power Computing Distributed and Federated Learning