Michigan may remember 2025 as the year of the data center. Developers have eyed at least 16 sites in 10 counties across the Lower Peninsula for the power-hungry server warehouses supporting artificial ...

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 ...

Abstract: Due to the greatly improved capabilities of devices, massive data, and increasing concern about data privacy, Federated Learning (FL) has been increasingly considered for applications to ...

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.

Figure 1. Average result across 8 benchmarks for different methods. High performance at the same selection ratio indicates high efficacy, while achieving similar performance with a smaller selection ...

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, ...

Quest Software, a global leader in data, cybersecurity, and migration software, is making major enhancements to its database management tools, Toad Data Studio 2.0 and Toad Data Point 6.4—introducing ...

My name is Bill Burkett, and I am a data modeler. I don’t call myself that often and sometimes have misgivings about doing so. I often get the feeling that being a “data modeler,” when considered in ...

The Opensource DeepSeek R1 model and the distilled local versions are shaking up the AI community. The Deepseek models are the best performing open source models and are highly useful as agents and ...