Intelligenza Artificiale IOS Press Journal Impact Factor

About: The Intelligenza Artificiale Journal features original research articles, reviews, and case studies across various domains of artificial intelligence. Topics include but are not limited to machine learning, deep learning, robotics, natural language processing, computer vision, and AI ethics. The journal aims to address both theoretical and practical aspects of AI, showcasing innovations and advancements in the field.
Objective
The journals primary objective is to promote the advancement of AI knowledge through high-quality research and scholarly communication. It seeks to facilitate the exchange of ideas among researchers, practitioners, and industry experts, driving forward the development of AI technologies and methodologies.
Interdisciplinary Approach
Intelligenza Artificiale adopts an interdisciplinary approach, recognizing that AI research often intersects with various fields such as computer science, mathematics, cognitive science, and engineering. By encouraging contributions that draw from these diverse disciplines, the journal aims to provide a holistic perspective on AI and its applications.
Impact and Significance
The journal plays a crucial role in the AI research community by offering a venue for publishing influential studies and fostering discussions on emerging trends. Its impact is reflected in its ability to shape the development of AI technologies and contribute to advancements in both theoretical and applied aspects of the field.

Scope: The Intelligenza Artificiale journal is dedicated to publishing high-quality research in the field of artificial intelligence (AI). Its scope includes a wide array of topics pertinent to both theoretical advancements and practical applications of AI technologies.
Core AI Areas:
Machine learning and data mining
Natural language processing (NLP)
Computer vision and image processing
Robotics and autonomous systems
Knowledge representation and reasoning
Expert systems and decision support systems
Interdisciplinary Applications:
AI in healthcare and medical diagnostics
AI for environmental monitoring and sustainability
AI in education and e-learning technologies
AI applications in finance, economics, and business intelligence
AIs role in social sciences and humanities
Emerging AI Technologies:
Deep learning and neural networks
AI-driven cybersecurity measures
Ethical and societal implications of AI
AI in the Internet of Things (IoT)
AI for cloud computing and big data analytics