The domain of digital public health is rapidly evolving with the emergence of large language models (LLMs), which are poised to revolutionize disease ...

Training large models requires building or upgrading data centers. But centralized infrastructure is now running into hard physical limits. To improve this infr ...

Discover the importance of homoskedasticity in regression models, where error variance is constant, and explore examples that illustrate this key concept.

AI leaders continue to report strong earnings growth, with profits rising faster than share prices, leading to multiple compression. Learn more here.

For the past three decades, glaciologist Helen Amanda Fricker has been investigating polar regions — the fastest changing ...

Sea level can temporarily change for a variety of reasons—atmospheric pressure shifts and water accumulation from wind and storms, for example—which can cause flooding in coastal communities and ...

Caribbean countries have long stored their data in foreign facilities, but that is beginning to change with the rise of ...

Spokane’s homeless services data collection and provider accountability systems have been strengthened under the Brown ...

While open source artificial intelligence gained unprecedented recognition during the latest global AI summit, divisions over governance, market concentration and regulatory power cast doubt on whethe ...

New computer vision feature automatically evaluates property condition to help investors make data-driven decisions. By ...

EDA produces a lot of data, but how useful is that for AI to consume? The industry looks at new ways to help AI do a better job.

Panelists repeatedly highlighted that AI compute scaling is dramatically outpacing traditional Moore’s Law transistor ...