The next frontier in automotive AI is about equipping vehicles to learn, adapt and evolve through orchestrated data that ...

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, ...

Researchers at Los Alamos National Laboratory have developed a new approach that addresses the limitations of generative AI ...

A.T. Kingsmith does not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and has disclosed no relevant affiliations beyond ...

Uptime Institute predicts the data center industry in 2025 will face pressure over resource consumption, grid integration challenges, and AI infrastructure requirements. Data centers this year will ...

In its latest quarterly update, Appen reported revenue ahead of market expectations but continued to post net losses and face ...

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.

James Jin Kang does not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and has disclosed no relevant affiliations beyond ...

The integration of bioinformatics, machine learning and multi-omics has transformed soil science, providing powerful tools to ...

Data is often called the lifeblood of modern healthcare. As the industry evolves, its ability to harness and act on data effectively will distinguish the innovators from the status quo. Today, ...