Humans rely on abstraction and conceptual frameworks, whereas AI systems apply statistical or rule-based methods, each with limits. Bridging these approaches could pave the way for more flexible, ...

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 ...

In early June, Apple researchers released a study suggesting that simulated reasoning (SR) models, such as OpenAI's o1 and o3, DeepSeek-R1, and Claude 3.7 Sonnet Thinking, produce outputs consistent ...

Scalable, production-level AI requires two bases: the known sources of human knowledge and a reliable data infrastructure.

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 ...