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 ...

The Beneish model was designed by M. Daniel Beneish to quantify eight variables that can indicate that a company is misrepresenting its profits. Here’s how it works.

There's been a seismic shift in science, with scientists developing new AI tools and applying AI to just about any question that can be asked. Researchers are now putting actual seismic waves to work, ...

The method has two main features: it evaluates how AI models reason through problems instead of just checking whether their final answers are correct, and it evaluates the quality of training data so ...

Statistical models predict stock trends using historical data and mathematical equations. Common statistical models include regression, time series, and risk assessment tools. Effective use depends on ...

Chances are, you’ve seen clicks to your website from organic search results decline since about May 2024—when AI Overviews launched. Large language model optimization (LLMO), a set of tactics for ...

This isn't really an issue (discussions are disabled) and it isn't exactly related to the Device model group, but since you, the Smart Data Model maintainers, have a lot of experience with JSON-LD and ...

Behavioral information from an Apple Watch, such as physical activity, cardiovascular fitness, and mobility metrics, may be more useful for determining a person's health state than just raw sensor ...

Figure 1. Average result across 8 benchmarks for different methods. High performance at the same selection ratio indicates high efficacy, while achieving similar performance with a smaller selection ...

R Symons Electric Vehicles, a U.K.-based electric vehicle dealer, drove two nearly identical Tesla Model 3s 200 miles for a range and efficiency test. Despite one car having 225,000 miles, it was just ...