Artificial Intelligence (AI) is concerned with computing technologies that allow machines to see, hear, talk, think, learn, and solve problems even above the level of human beings. On the one hand it allows data to be analyzed by real-time models that enable unprecedented levels of accuracy and efficiency. On the other hand it enables domain specific problem solving and knowledge discovery that cannot be easily done by humans. 

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Transdisciplinary AI (TransAI) is an international forum dedicated to advancing enabling AI technologies and fostering interactions between AI and other research disciplines. It encompasses themes that explore both the application of AI to specific research disciplines and how domain-specific challenges, insights, and applications can, in turn, advance AI research and technologies. Through this bidirectional exchange, TransAI aims to promote interdisciplinary collaboration, stimulate innovation, and advance AI through meaningful engagement with diverse research communities.

 

TransAI comprises a main conference focusing on enabling AI technologies, along with the following specialized sub-conferences:​

• AI x Business (AIxB)

• AI x Humanities, Education, and Art (AIxHEART)

• AI x Medicine, Health, and Care (AIxMHC)

• AI x Science, Engineering, and Technology (AIxSET)

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Distinguished quality papers presented at the conference will be selected for the best paper/poster awards and for publication in internationally renowned journals (SCI, EI, and/or Scopus indexed).