Artificial Intelligence, Machine Learning, Data Science, and Robotics Journal is a peer-reviewed publication that explores the latest innovations and research in the fields of AI, machine learning, data science, and robotics. The journal covers a broad spectrum of topics, including algorithms, automation, intelligent systems, predictive analytics, and the integration of robotics in various industries. Its goal is to highlight cutting-edge advancements and interdisciplinary applications that push the boundaries of technology, improve efficiency, and solve complex real-world problems. By bringing together experts from diverse fields, the journal fosters knowledge-sharing and drives progress in the rapidly evolving landscape of artificial intelligence and automation.
Artificial Intelligence; AI Ethics; AI Models; AI Applications; AI Bias; AI Governance; AI in Healthcare; AI in Finance; AI-Powered Automation; Machine Learning; Supervised Learning; Unsupervised Learning; Reinforcement Learning; Neural Networks; Autoencoders; Data Science; Data Analytics; Data Engineering; Data Processing; Data Mining; Data Visualization; Business Intelligence; Cloud Computing; Hadoop; Apache Spark; SQL; Text Mining; Sentiment Analysis; Chatbots; Speech Synthesis; Named Entity Recognition; Language Modelling; Tokenization; Text-To-Speech (TTS); Speech-To-Text (STT); Robotics; Autonomous Robots; Humanoid Robots; Industrial Robots; Collaborative Robots (Cobots); Swarm Robotics; Robot Perception; Robot Motion Planning; Simultaneous Localization And Mapping (SLAM); Soft Robotics; Transformer Models; Natural Language Processing (NLP); Speech Recognition; Image Classification
|
Research Article | Volume: 2, Issue: 1 Published Date: May 29, 2026 Authors: Sevda Farahmand* and Omid Panahi Abstract: The integration of robotics and artificial intelligence (AI) into dentistry marks a paradigm shift from traditional mechanical procedures toward precision, automation, and data-driven decision-making. This article explores the current landscape, clinical applications, benefits, and challenges of AI and robotic systems in oral healthcare. From diagnostic imaging analysis and treatment planning to robotic-assisted implant surgery and orthodontic wire bending, these technologies are enhancing accuracy, reducing human error, and improving patient outcomes. The paper also examines AI?s role in caries detection, periodontal assessment, and predictive analytics, alongside robotics in endodontics and prosthodontics. |
|
Research Article | Volume: 2, Issue: 1 Published Date: May 28, 2026 Robots and the Next Generation of Dentistry: Transforming Oral Surgery and Implantology Authors: Sevda Farahmand* and Omid Panahi Abstract: The integration of robotic systems into oral surgery and dental implantology represents the next frontier in precision medicine. Unlike traditional freehand techniques that rely on the surgeon?s tactile sense and visual estimation, robotic-assisted platforms offer sub-millimetric accuracy, real-time navigation, and haptic feedback. This article examines the current state and future trajectory of robotic applications in maxillofacial surgery, implant placement, bone augmentation, and third molar extraction. Key systems including Yomi, Da Vinci (adapted for oral procedures), and emerging autonomous robots are analyzed. |
|
Research Article | Volume: 2, Issue: 1 Published Date: May 27, 2026 Authors: Manisha Konda* and Kamalakar Reddy Singi Abstract: Distributed systems today, such as cloud infrastructures, microservice architectures, and hybrid cyber-physical networks, are increasingly difficult to monitor with respect to fault detection and diagnostics because of their large size, complexity, and dynamics. Telemetry data, a record of detailed operational metrics and event logs, is important for understanding how a system behaves and for proactively maintaining it. The paper describes an AI-based telemetry system capable of predicting service performance in a microservices system. The architecture leverages streaming telemetry, such as system metrics, logs, and traces, from cloud-native setups. The data are cleaned and normalized, and their features are extracted using Principal Component Analysis (PCA) to enhance data quality and reduce dimensionality. |
|
Research Article | Volume: 2, Issue: 1 Published Date: May 14, 2026 Authors: Alireza R Azadi* and Omid Panahi Abstract: Artificial intelligence (AI) is reshaping the field of surgery across the entire perioperative continuum. Unlike other medical specialties where AI primarily supports diagnosis, surgery presents unique challenges: real-time decision-making under uncertainty, complex motor skills, anatomical variability, and high-stakes adverse event prevention. This article provides a comprehensive review of AI applications in preoperative planning (risk stratification, virtual resection, instrument selection), intraoperative guidance (computer vision for anatomy recognition, surgical phase detection, robotic autonomy, augmented reality), and postoperative care (complication prediction, discharge optimization, tele-rehabilitation). |
|
Research Article | Volume: 2, Issue: 1 Published Date: May 13, 2026 The Future of Artificial Intelligence in Medicine: From Prediction to Prescription and Partnership Authors: Alireza R Azadi* and Omid Panahi Abstract: Artificial intelligence (AI) has moved from theoretical possibility to clinical reality. But what comes next? This article projects the evolution of medical AI over the next decade (2026?2035). We argue that the field will undergo three fundamental shifts: (1) from narrow, task-specific models to generalist medical AI capable of handling diverse data types and clinical scenarios; (2) from passive prediction to prescriptive and interventional AI that recommends actions and, increasingly, executes them under human supervision; and (3) from a tool-centric to a partnership paradigm in which AI and clinicians form co-pilot relationships, with AI handling pattern recognition and routine cognitive tasks while physicians focus on clinical reasoning, ethics, and empathy. |