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The field of terminology and knowledge representation in specialised texts is undergoing a period of rapid evolution, driven by the increasing demand for semantic interoperability and contextual ...
Humans rely on abstraction and conceptual frameworks, whereas AI systems apply statistical or rule-based methods, each with ...
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Why machines struggle with the unknown: Exploring the gap in human and AI learning
How do humans manage to adapt to completely new situations and why do machines so often struggle with this? This central question is explored by researchers from cognitive science and artificial ...
Knowledge representation and reasoning in logic programming constitute a core area of artificial intelligence that formalises how information is symbolically encoded and manipulated. This field ...
Chief financial officers (CFOs) and finance leaders grappling with the volume and pace of AI developments in corporate finance should focus on three areas in the near term, according to Gartner. “The ...
Scalable, production-level AI requires two bases: the known sources of human knowledge and a reliable data infrastructure.
Data-hungry AI applications are fed complex information, and that's where graph databases and knowledge graphs play a crucial role.
Centered on the AI era, the two WYF summits have built a bridge for global youth to learn, grow, and engage in cross-cultural exchanges. Among them, WYF-FELS, held in Hong Kong, introduced top global ...
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Indigenous peoples’ representation and AI
Can the Philippines’ indigenous peoples speak? Literally, of course, they can. But in a society that still treats them as savages or second-class citizens, can they truly ascend podiums of national ...
The culture ministry is organising a three-day conference on 'Reclaiming India’s Knowledge Legacy through Manuscript Heritage' from Thursday to discuss and chalk out plans for this project ...
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