To some, METR’s “time horizon plot” indicates that AI utopia—or apocalypse—is close at hand. The truth is more complicated.

Mathematicians are still trying to understand fundamental properties of the Fourier transform, one of their most ubiquitous ...

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

One of the most striking outcomes of the surface-minimization framework is its ability to explain structural features that ...

Abstract: Large language models (LLMs), such as GPT-3.5-turbo, have demonstrated the ability to understand graph structures and have achieved excellent performance in various graph reasoning tasks, ...

It’s increasingly recognised that moving from prompts to context is critical for achieving scalable, adaptive high-impact ...

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 similarly to humans. By organizing inf ...

Abstract: Understanding driving scenarios is a critical issue in autonomous driving, as it allows developers to create more effective and reliable autonomous driving systems. However, the complexity ...

JSON Schema Studio converts schemas into an interactive graph so you can see structure, references, and relationships instantly, instead of mentally parsing large JSON Schema files. Keywords displayed ...