The standard architecture — chunking documents, embedding them into a vector database, and retrieving top-k results via cosine similarity — is effective for unstructured semantic search. However, for ...

Only a few months ago, the question felt mostly philosophical: if artificial intelligence can help solve open math problems, ...

Announced at the company’s AI+Datanova event in Miami, the Enterprise Intelligence Platform combines Starburst’s federated ...

Collaboration aims to tackle one of autonomous vehicle industry’s biggest challenges, namely proving how systems make ...

A new associate joins a complex matter and spends days reconstructing context that already exists somewhere in the firm. A partner asks whether ...

P vs. NP asks: are these two classes actually the same? If P = NP, then every “hard” problem is secretly fast to solve; we ...

The hidden cost of agentic AI is the engineering effort required to continuously rebuild real-time business context across ...

Modern marketing faces a critical challenge: data fragmentation, leading to disconnected customer experiences and lost sales.

Ask most people what responsible AI looks like and you will get a list of principles. Ask Harsh Singhal and you will get a ...

For years, the debate surrounding artificial intelligence and patents has focused on a relatively simple question: Can AI be an inventor?

Orchid Security, the company solving identity at its core, today announced a major extension to its Identity Control Plane - ...

In mid-May, OpenAI announced that an internal AI model had disproved the Erdős unit distance conjecture, a famous problem in ...