Clinical trial datasets are becoming increasingly complex, yet the format of their dissemination remains largely static.1 ...

You will be redirected to our submission process. Multi-omics studies now span genomics, epigenomics, transcriptomics, proteomics, metabolomics, microbiomics, and spatial and single-cell modalities, ...

Steve Nemzer, Sr. Director, AI Growth & Innovation, TELUS Digital, leads initiatives focused on advancing AI training data and infrastructure for next-generation artificial intelligence systems. His ...

The generative AI models used in classified environments can answer questions but don't currently learn from the data they ...

The annotation, recruitment, grounding, display, and won gates determine which content AI engines trust and recommend. Here’s ...

Where do AI systems lose confidence in your content? Discovery, selection, crawling, rendering, and indexing hold the answer.

The work, known as data labeling, is how Meta trains its computer vision systems. Each frame reviewed helps improve the algorithms powering its augmented reality assistant.

Subramaniam Vincent is director of journalism and media ethics at the Markkula Center for Applied Ethics at Santa Clara University. Views are his own. At the core of storytelling for news is sourcing ...

When we talk about artificial intelligence, most people immediately think of futuristic robots and self-driving cars. But here’s the truth I’ve learned over years of working with data and leading ...

Data sovereignty has never been more important, but it's not easy to accomplish. Organizations are weighing the need for sovereign AI platforms that allow for complete control over their data, models ...