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, ...

New findings show how the sources of data are concentrating power in the hands of the most powerful tech companies. AI is all about data. Reams and reams of data are needed to train algorithms to do ...

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.

Uncertainty quantification (UQ) is a field of study that focuses on understanding, modeling, and reducing uncertainties in computational models and real-world systems. It is widely used in engineering ...

The use of better-quality data can improve the business case for a number of solar projects. Image: Photon Group. The integrity of a PV project largely depends on the quality of the solar, ...

Terrestrial data centers are so 2025. We're taking our large-scale compute infrastructure into orbit, baby! Or at least, that's what Big Tech is yelling from the rooftops at the moment. It's quite a ...

Oct 1 (Reuters) - Bristol Myers Squibb (BMY.N), opens new tab, Takeda Pharmaceuticals (4502.T), opens new tab and Astex Pharmaceuticals are coming together to share proprietary data for training an ...

Data can feel overwhelming, especially when it’s scattered across spreadsheets, databases, and countless other sources. If you’ve ever stared at rows of numbers, wondering how to make sense of it all, ...

The model leverages verifiable credentials and is built on a trust framework established among national ID authorities and fast payment systems.