Researchers at several US universities found that language models often produce similar answers after being trained, as human evaluators tend to favor familiar responses. A new method called ...

Abstract: Recent deep network-based compressive sensing (CS) methods have achieved great success. However, most of them regard different sampling matrices as different independent tasks and need to ...

This blog post is the second in our Neural Super Sampling (NSS) series. The post explores why we introduced NSS and explains its architecture, training, and inference components. In August 2025, we ...

It's not feasible to contact every member of the population, so only a sample, or a subset, of that population is included when conducting statistical research. The assumption is that the sample is ...

Sampling isn’t just recycling old sounds—it’s a powerful form of musical storytelling that bridges generations, honors cultural legacy, and sparks innovation. Imagine sitting in your car, listening to ...

A study by the universities of Cordoba and Seville develops a method that makes it possible to verify, easily and quickly, whether an olive plantation is traditional, intensive, or super-intensive.

The United Kingdom and the United States share many similarities but are distinctly different in the way each nation structures and enforces their respective health and safety legislation, monitoring ...

Conducting a poll isn’t an exact science. The process is susceptible to lots of common problems and baked-in biases — more than just the “margin of error.” By ...

This technical note covers household surveys with a focus on probability sampling, bias, and survey weights. It explains how households are selected in a representative way from a population for a ...