For many fans, they see it as a policy that is going wrong, where the club aren’t dynamic enough in chasing down targets, ...

Aiming at the problem of sparse information distribution and lack of good correlation between data in the era of big data, this paper proposes a knowledge graph query and reasoning method based on ...

For an increasing number of companies, reasoning models (AI that thinks through problems rather than just following commands) are making traditional prospecting look as outdated as a Rolodex.

AI innovation in agentic AI, agents and new products in 2025 is led by AWS, Databricks, Dataiku, Google Cloud, GitHut, IBM, ...

Far from achieving some kind of super intelligence, even the most advanced generative AI systems — the so-called “reasoning” ...

The conservative wing of the court overly relies on the emergency shadow docket and shouldn't have entertained the ...

AI reasoning models were supposed to be the industry’s next leap, but now a string of research is calling that into question.

AI reasoning models were supposed to be the industry’s next leap, but now a string of research is calling that into question.

While most approaches to semantic reasoning have focused on improving performance, in this paper we argue that computational times are very important in order to enable real time applications such as ...

Emotional reasoning is a common thinking error related to health anxiety. Learn what it looks like and discover helpful ...

Large language models can generate useful insights, but without a true reasoning layer, like a knowledge graph and ...