The Science and Information (SAI) Organization publishes open-access peer-reviewed journals in computer science and artificial intelligence.
Artificial intelligence (AI) is the branch of computer science concerned with building systems that perform tasks normally requiring human intelligence, such as reasoning, planning, perception, and language understanding. The field spans symbolic approaches (rule-based expert systems, knowledge graphs, automated planning) and statistical approaches (machine learning, deep neural networks, probabilistic reasoning), increasingly combined to improve interpretability and reliability. AI research addresses search and optimization, multi-agent coordination, knowledge representation, and generalization from limited data. Applications range from recommendation engines and autonomous vehicles to fraud detection, scientific discovery, and decision-support systems in medicine, finance, and manufacturing. Agentic AI, systems that plan and act across multi-step tasks, has become a leading research focus; Stanford's 2026 AI Index Report finds most organizations are still experimenting with AI agents rather than deploying them at scale. As a peer-reviewed, open-access artificial intelligence journal, IJACSA (an AI journal indexed in Scopus) publishes research spanning foundational algorithms to applied AI systems evaluated on real-world datasets.
Published in International Journal of Advanced Computer Science and Applications (IJACSA) · list last refreshed September 2026
Recent developments in Large Language Models (LLMs) have created new opportunities to automate educational assessment and reduce workload for instructors. However, concerns regarding grading consistency, transparency, an…
The rapid growth of artificial intelligence (AI) technologies has transformed educational environments and created new opportunities for enhancing digital literacy in science education. However, variations in technologic…
Breast cancer is one of the major causes of death among women worldwide, and timely and accurate diagnosis has proven to play a critical role in increasing breast cancer patient survival. Traditional single-modality diag…
Fault tolerance in cloud computing environments has matured significantly, and most cloud service providers now offer highly available and reliable services. However, such high levels of fault tolerance are often achieve…
Generative artificial intelligence (GenAI), large language models (LLMs), and multimodal foundation models are rapidly transforming healthcare by extending artificial intelligence beyond traditional predictive analytics…
Massive Open Online Courses (MOOCs) have expanded access to learning, but learner dropout remains a persistent challenge in online education. Most dropout prediction studies transform learner traces into behavioral featu…
Land registration and urban zoning are very important jobs for the government, but in many places, they still have problems with old processes, corruption, and a lack of openness. Urbanization and population growth are p…
Automated epileptic seizure detection from electroencephalogram (EEG) recordings remains a challenging biomedical signal analysis task because of the nonlinear, non-stationary, and high-dimensional characteristics of neu…
The rapid expansion of Artificial Intelligence (AI) is reshaping architectural education and practice, yet its systematic curricular integration remains limited in many higher education settings. This study developed the…
This study aims to identify and classify the technologies used across the waste-management lifecycle, qualitatively synthesize the types of operational and circularity-related outcomes reported in the literature, and exa…
