Enterprises racing to deploy generative AI often focus on models. In practice, outcomes depend on how well organizations ...

Even as large language models have been making a splash with ChatGPT and its competitors, another incoming AI wave has been quietly emerging: large database models. Even as large language models have ...

Picture this: The year is 2030, and you’re living in a world where retailers can predict consumer behavior with uncanny accuracy, healthcare providers are diagnosing diseases before symptoms escalate ...

Lens uses genomic language models to detect antibiotic resistance genes from DNA sequences, performing especially well on long-read data and on some ARGs poorly represented in reference databases.

Samuel Colvin, CEO of Pydantic, sees the top AI frontier labs creating databases of coding intent.

While relational databases rely on rigid structures, document databases are much more natural to work with and can be used for a variety of use cases across industries. A document database (also known ...

Nvidia's reported $400 million Kumo AI deal brings the first relational foundation model in-house, pushing predictive AI on ...

AI systems are the ultimate amnesiacs. Despite an impressive ability to generate text, code, music, and more, they’re limited by the prompt immediately in front of them. Ask ChatGPT about a recipe it ...