About Journal
Welcome to the Series of Artificial Intelligence and Machine Learning an esteemed publication dedicated to advancing the fields of Artificial Intelligence and Machine Learning. As a premier platform for the exchange of cutting-edge research and innovative ideas, our journal is committed to fostering knowledge, collaboration, and progress in the realms of Artificial Intelligence (AI) and Machine Learning (ML).
Series of Artificial Intelligence and Machine Learning is a peer-reviewed open-access journal that provides a dedicated platform for high-quality research work in the fields of AI and ML. Our mission is to advance scientific research in AI and ML by encouraging the submission of theoretical and experimental results related to the fundamental principles and applications of these technologies.
Our journal is designed to serve as a conduit for researchers, practitioners, and enthusiasts, providing a space where the latest developments, breakthroughs, and critical insights in the AI and ML domains can be shared and explored. We aim to be a leading source of authoritative and diverse content for a global audience.
Our editorial team consists of seasoned experts in AI and ML, who rigorously review and select content that showcases the most significant trends, techniques, and applications. We are dedicated to maintaining high standards and facilitating a vibrant intellectual exchange.
We invite researchers, scholars, and AI/ML enthusiasts to contribute to our journal and engage in the dialogue that shapes the future of these dynamic fields. Together, we aim to push the boundaries of what is possible with artificial intelligence and machine learning.
Exploring the Frontiers of AI and ML:
Our journal is dedicated to exploring the latest advancements in AI and ML, covering a wide range of topics that encompass the core principles and emerging trends in these fields. We focus on matters related to the fundamental requirements of AI and ML, the development of innovative algorithms and techniques, and the application of these technologies to various domains.
Gain Insights Into Key Areas:
Our articles provide a deep understanding of critical areas in AI and ML, including:
- Cutting-edge AI algorithms and techniques
- Applications of AI and ML in diverse domains
- Case studies showcasing successful AI and ML implementations
- Ethical considerations in AI and ML research
With “Series of Artificial Intelligence and Machine Learning,” you can stay at the forefront of AI and ML developments, pushing the boundaries of what is possible in these dynamic fields.
Series of Artificial Intelligence and Machine Learning welcomes direct submissions from prospective authors. You can submit your manuscript online or can attach your manuscript and send us an e-mail.
From Editorial Managing Team
It is our privilege to welcome you to the inaugural issue of the Series of Artificial Intelligence and Machine Learning. We are excited to be part of a venture that spotlights the remarkable advancements taking place in Artificial Intelligence and Machine Learning.
Artificial Intelligence and Machine Learning are at the forefront of transformative innovations, with applications spanning across numerous sectors, from healthcare to finance, from natural language understanding to computer vision. Our journal seeks to capture and celebrate the diversity of research and innovation in these domains.
In each issue, we endeavour to bring you not only the latest research findings but also the underlying stories of how these breakthroughs are shaping the world. We are committed to fostering a vibrant community of AI and ML enthusiasts, and we encourage your active participation.
We invite you to explore the content of our journal, engage in the discussions, and contribute your valuable insights. Together, we can push the boundaries of AI and ML and explore the limitless potential of these exciting fields.
Thank you for joining us on this journey.
Keywords
Artificial Intelligence, Machine Learning, Deep Learning, Expert System, Algorithm, Autonomous, Backward Chaining, Bias, Big Data, Bounding Box, Chatbot, Cognitive Computing, Computational Learning Theory, Corpus, Data Mining, Data Science, Dataset, Deep Learning, Entity Annotation, Entity Extraction, Forward Chaining, General AI, Hyperparameter, Intent, Label, Linguistic Annotation, Machine Intelligence, Machine Learning, Machine Translation, Model, Neural Network, Natural Language Generation, Natural Language Processing, Natural Language Understanding, Overfitting, Parameter, Pattern Recognition, Predictive Analytics, Python, Reinforcement Learning, Semantic Annotation, Sentiment Analysis, Strong AI, Supervised Learning, Test Data, Training Data, Transfer Learning, Turing Test, Unsupervised Learning, Validation Data, Variance, Variation, Weak AI, AI Education, Human-Machine Interaction, AI Ethics, Robotics, Finance and AI, Healthcare Applications, Ethics in AI, Computer Vision, Neural Networks, ChatGPT, Chatbot, Speech Recognition, Deep Reinforcement Learning, Generative Adversarial Networks (GANs), Autonomous Systems, AI in Healthcare, AI for Environmental Sustainability, AI and Robotics, AI-Enhanced Surgical Techniques, Bioinformatics and AI in Healthcare, Biophysics and ML in Medical Research, Genetics Studies with Machine Learning, AI-Driven Histological Insights, Epidemiology and Data Analytics
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Journal Information
Journal Name : Series of Artificial Intelligence and Machine Learning
Journal Short Name : Series Artificial Intel Machine Learn.
Journal Code : #JSAIML
DOI : 10.54178
Publication Model : Open Access
Peer Review Model : Double Blind
