Visualization of Bragg diffraction peaks in an undeformed bi-crystal gold sample. The height denotes photon counts. This data was produced at the Advanced Photon Source and processed at the ThetaGPU ...

So-called “unlearning” techniques are used to make a generative AI model forget specific and undesirable info it picked up from training data, like sensitive private data or copyrighted material. But ...

AI systems are only as fair and safe as the data they’re built on. While conversations about AI ethics often focus on model architecture, algorithmic transparency or deployment oversight, fairness and ...

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, ...

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.

Rackspace Technology announced the launch of its Foundry for AI by Rackspace (FAIR™) Model Context Protocol (MCP) Enterprise Accelerator on the AWS Marketplace under the new 'AI Agents & Tools' ...