Until now, progress in AI had relied on bigger and better training runs, with more data and more computer power creating more intelligence. But once a model was trained, it was hard to use extra ...

Move over ChatGPT and DALL-E: Spreadsheet data is getting its own foundation machine learning model, allowing users to immediately make inferences about new data points for data sets with up to 10,000 ...

Transaction processing against relational ... for a distributed database/storage server architecture than pushing up the bandwidth to 200 Gb/sec, 400 Gb/sec, or 800 Gb/sec on the ports in the ...

Examples include meeting events, team work (e.g., coauthoring of papers), multi-cast or "one-to-many" communication such as email, or papers citing lists of other papers in their references.

An ORM (Object Relational Mapper) is designed to address these issues, by centralising your data model and data rules, ensuring that your data is managed safely (providing immunity to SQL-injection) ...