Large-language models (LLMs) have taken the world by storm, but they’re only one type of underlying AI model. An under-the-radar company, Fundamental, is set to bring a new type of enterprise AI model ...

In May of 2025, MySQL celebrated its 30th anniversary. Not many technology projects go strong for three decades, let alone at the level of use that MySQL enjoys. MySQL is listed at #2 on the ...

The proliferation of AI data, evolving regulatory requirements and risk of large language model (LLM) collapse will help to drive take up of zero trust approaches to data governance in the next two ...

Washington-based Starcloud launched a satellite with an Nvidia H100 graphics processing unit in early November, sending a chip into outer space that's 100 times more powerful than any GPU compute that ...

Loading mysql-workbench-community-8.0.44-winx64.msi from cache Checking hash of mysql-workbench-community-8.0.44-winx64.msi ... ok. Uninstalling 'mysql-workbench' (8.0.43) Installing 'mysql-workbench' ...

The Gabriella Miller Kids First Data Resource Center (Kids First DRC) has launched the Variant Workbench, an innovative tool designed to dramatically accelerate research into childhood diseases. For ...

Redgate Software, the end-to-end Database DevOps solution provider, is launching Redgate Data Modeler, a new SaaS-based data modeling tool that enables teams to collaboratively design, document, and ...

It seems like everyone wants to get an AI tool developed and deployed for their organization quickly—like yesterday. Several customers I’m working with are rapidly designing, building and testing ...

A new kind of large language model, developed by researchers at the Allen Institute for AI (Ai2), makes it possible to control how training data is used even after a model has been built.

As CEOs trip over themselves to invest in artificial intelligence, there’s a massive and growing elephant in the room: that any models trained on web data from after the advent of ChatGPT in 2022 are ...

When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, ...