Computing&AI Connect is an interdisciplinary journal advancing research in computing, artificial intelligence, and their convergence. It publishes original theoretical contributions, innovative methodologies, and practical applications that address scientific, engineering, and societal challenges. The journal connects researchers, practitioners, and academics to promote interdisciplinary collaboration and the development of effective, secure, and responsible technologies.

The journal’s scope is organized into four areas, with topics including, but not limited to, the following:

Research Foundations and Topics: Computing and computational learning theory; parallel and distributed computing; knowledge representation and reasoning; human–computer interaction and interface design; and cybersecurity, including AI system security.

Methods and Technologies: Algorithm design and optimization; machine learning, including deep, reinforcement, and transfer learning; generative AI and large language models; data science; computer vision, natural language processing, and multimodal AI; intelligent and autonomous systems; and edge computing, the Internet of Things, sensor networks, and blockchain.

Application Domains: Healthcare, bioinformatics, transportation, finance, robotics, industrial automation, signal processing, communications, and cyber intelligence.

Ethical and Societal Considerations: Privacy and data protection; fairness and bias mitigation; transparency and accountability; responsible AI; and societal impact assessment.