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 ...

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 ...

Here at Ars, we've done plenty of coverage of the errors and inaccuracies that LLMs often introduce into their responses. Now, the BBC is trying to quantify the scale of this confabulation problem, at ...

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.

“Different approaches and solutions are developing for copyright holders to protect their rights, and for AI developers to respect their regulatory obligations.” – EUIPO report The EUIPO report was ...

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 ...