A research team at Duke University has developed a new AI framework that can uncover simple, understandable rules that govern ...

Hospitals don't always publicly disclose their C-section rates, so we compiled our own data from over 1,700 hospitals. Here's ...

Francisco Javier Arceo explored Feast, the open-source feature store designed to address common data challenges in the AI/ML ...

Explore if facial recognition meets the criteria to be classified as a passkey. Understand the security, usability, and standards implications for passwordless authentication.

Explore n8n 2.0 with publish and unpublish controls for subworkflows, letting you reuse steps and speed up builds. The latest ...

Expert consultant Greg Shulz said next-generation data visualization requires modernizing the full pipeline from data preparation through AI-governed analytics to interactive, story-driven presentatio ...

Abstract: In today's era, transactional datasets are ubiquitous and continue to grow in size, making it increasingly challenging to mine frequent itemsets efficiently. The Apriori algorithm is a ...

The $12K machine promises AI performance can scale to 32 chip servers and beyond but an immature software stack makes harnessing that compute challenging ...

Abstract: In recent years there has been increasing evidence that one of the simplest time series anomaly detection methods, time series discords, remains one of the most effective methods. However, ...