A resilient data strategy must treat unstructured content not as archival noise but as a primary input into the enterprise ...

Existing algorithms can partially reconstruct the shape of a single tree from a clean point-cloud dataset acquired by laser-scanning technologies. Doing the same with forest data has proven far more ...

Materials research generates vast amounts of data, but the information often exists in manufacturer-specific formats and the terminology is inconsistent, making it difficult to aggregate, compare, and ...

Tabular foundation models are the next major unlock for AI adoption, especially in industries sitting on massive databases of ...

Engineers at the University of California have developed a new data structure and compression technique that enables the field of pangenomics to handle unprecedented scales of genetic information. The ...

Structure Therapeutics’ stock soared toward an 18-month high in early Monday trading, after mid-stage data for its oral daily GLP-1 receptor appeared comparable to that of one of Eli Lilly’s ...

Structure Therapeutics is developing a daily GLP-1 receptor pill called aleniglipron. Structure Therapeutics' stock soared toward an 18-month high in early Monday trading, after mid-stage data for its ...

The authors do not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and have disclosed no relevant affiliations beyond their ...

Credit: Image generated by VentureBeat with FLUX-pro-1.1-ultra A quiet revolution is reshaping enterprise data engineering. Python developers are building production data pipelines in minutes using ...

Tech companies in the AI race need power, and lots of it. They aren’t waiting around for the archaic U.S. power grid to catch up.

A controlled test compared three nearly identical pages: one with strong schema, one with poor schema, and one with none. Only the page with well-implemented schema appeared in an AI Overview and ...