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 ...

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

According to Drew Garner, SVP of AI & data platform at Smartsheet, AI hasn’t made expertise obsolete, it’s made it more ...

Quiq reports on the role of automation in customer service, highlighting tools like AI for questions, ticket classification, ...

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

Technically, the hyperlink is the web’s basic unit. Yet links also describe API connections, knowledge graph relationships, ...

Despite lots of hype, "voice AI" has so far largely been a euphemism for a request-response loop. You speak, a cloud server ...

Progress will come from systems that can combine language understanding with explicit spatial and structural reasoning.

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

AI autoscaling promises a self-driving cloud, but if you don’t secure the model, attackers can game it into burning cash or ...

Raghab Singh’s research advances structure-first AI models for healthcare, combining molecular geometry and language ...