Meaning doesn’t stay inside individual brains. Shared attention and language allow meaning to become symbolic, social, and cumulative.

Although large language models (LLMs) have the potential to transform biomedical research, their ability to reason accurately across complex, data-rich domains remains unproven. To address this ...

Google DeepMind researchers have introduced ATLAS, a set of scaling laws for multilingual language models that formalize how ...

Analyses of self-paced reading times reveal that linguistic prediction deteriorates under limited executive resources, with this resource sensitivity becoming markedly more pronounced with advancing ...

Enterprise AI can’t scale without a semantic core. The future of AI infrastructure will be built on semantics, not syntax.

Google's Universal Commerce Protocol isn't just an API, it's infrastructure for AI-native shopping. Learn why major retailers ...

Knowledge representation is a fundamental aspect of AI, which allows machines to understand, think, and even make choices ...

Research team unveils ProSyno, a context-free prompt-learning model that taps Wiktionary descriptions and a dynamic matching ...

Explore the 2026 AI trends in India, including the transition from experimental AI to scalable applications, the evolving ...

1 College of Design and Architecture, Zhejiang University of Technology, Hangzhou, China 2 College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China ...

Charlotte Entwistle has received funding from the Engineering and Physical Sciences Research Council (EPSRC) and Leverhulme Trust. Is it possible to spot personality dysfunction from someone’s ...

Abstract: Knowledge graphs (KGs) can provide structured knowledge to assist large language models (LLMs) in interpretable reasoning. Knowledge graph question answering (KGQA) is a typical benchmark to ...