Main title: AI and science academic journal.
Key title abbreviation: AI sci. acad. j.
Alphabet of original title: Basic Roman
Subject (UDC): 004.8
Subject: Computer science and technology. Computing. Data processing
Publisher: Shymkent: ALTN
Publication dates: 2025–9999
Frequency: Quarterly
Resource type: Journal
Language: English
Country: Kazakhstan
Medium: Online
ISSN: 3105-7152 (Online)

aiacademic.org is a multifunctional information and educational platform created to systematically cover and analyze artificial intelligence technologies and their impact on key areas of life. The project is owned and operated by AI Academic Ltd. — a private company registered in the Astana International Financial Centre (AIFC), registration number (BIN) 260940901080, AFSA registration number AFSA-O-CA-2026-8266. Publishing of the journal — including ISSN registration and DOI registration via Crossref — is currently carried out through ALTN LLP (Kazakhstan), which acts as the registered publisher-operator of the project and provides AI Academic Ltd. with operational and technical publishing services on a contractual basis.

Our mission is to bring together the expert community, business, academia and the broader public around up-to-date knowledge of AI. We strive to make advanced developments and research in this field accessible and understandable, while maintaining a high standard of analysis and reliability.

The subject matter of our publications covers a wide range of areas:

Medicine — the application of AI in disease diagnosis, the development of personalized treatment methods, and the analysis of medical images and data.

Pharmacy — the application of AI in drug development, clinical trial optimization, and personalized medicine.

Ecology and climate — the use of AI to forecast climate change, monitor the state of the environment, and protect biodiversity.

Art — generative neural networks, digital creativity, and the interaction between humans and algorithms in the arts.

Quantum technologies — the prospects for synergy between quantum computing and AI in science, security, pharmaceuticals and IT.

Autonomous systems and smart cities — the development of self-driving transport, digital urban ecosystems, and intelligent infrastructure.

Education — adaptive educational platforms, automation of the learning process, virtual mentors and digital classrooms.

Mathematics — the development and application of algorithms, the theoretical foundations of machine learning, and data analysis.

Economics — the impact of AI on markets, the automation of business processes, and the forecasting and modeling of economic systems.

Law — the legal regulation of technology, the ethical and legal issues of AI implementation, and data protection.

We track global trends and local developments, analyze the cases of leading companies and startups, and examine the ethical, social and legal aspects of AI implementation.

aiacademic.org is a space where technology meets science, business and culture, shaping a future in which artificial intelligence becomes an integral part of human life.