A first-of-its-kind analysis has revealed significant differences in stroke outcomes and stroke care for patients on ...

Artificial intelligence is a commonly used law enforcement tool in complex cases, like Nancy Guthrie's disappearance.

Of all the metrics Clear Sight Analytics measures, one stands out to Healy: the disparity between the Bruins’ actual all-situations goals (184, not counting empty-netters) and expected (156.45). The ...

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.

For business owners, marketers, startup founders, and product teams, understanding competitors provides essential context for ...

Extracting and analyzing relevant medical information from large-scale databases such as biobanks poses considerable challenges. To exploit such "big data," attempts have focused on large sampling ...

Abstract: Training deep neural networks (DNNs) with altered data, known as adversarial training, is essential for improving their robustness. A significant challenge emerges as the robustness ...

We use S3 source with ClickHouse as engine, and Rill for visualization. This example demonstrates advanced data modeling strategies for real-time analytics using ClickHouse and Rill. We showcase how ...

Electricity prices are surging, voters are growing angry, and the artificial intelligence industry's data centers are increasingly a target for blame with U.S. mid-term elections on the horizon.

There is a growing urgency to adopt cloud services to buttress today’s rapidly growing inventories of high-end analytic and AI applications. This is fueled by massive volumes of data that are spilling ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Accurate quantitation during chemical characterization─also referred to as ...