A new study developed a snore-source classification model that uses STFT spectrograms, pretrained CNN features, and an L2-regularized SVM to identify where snoring originates in the upper airway.

Latest AI mystery is that there are 11 specific nouns used frequently by LLMs when creating short stories. Why those words?

An ancient human ancestor called Homo floresiensis was likely a scavenger who subsisted on the scraps left behind by the ...

In a study published in Signal Transduction and Targeted Therapy, the researchers used MIR2911, a plant microRNA enriched in honeysuckle, as a proof-of-concept example.

Background Difference-in-differences is a method commonly used in population health research. It is based on assumptions that ...

Discover how event studies assess the impact of significant events on stock values and enhance investment strategies through empirical analysis techniques.

Lindsey Ellefson is Lifehacker’s Features Editor. She currently covers study and productivity hacks, as well as household and digital decluttering, and oversees the freelancers on the sex and ...

Clarification: A previous version of this story had a different image. It has been updated for clarity. Walk into any kindergarten classroom this fall, and there’s a good chance students will be ...

Objective This study aims to assess the feasibility of respondent-driven sampling (RDS) to recruit participants with recent abortion experiences in humanitarian contexts, and describe the composition ...

A new study by Shanghai Jiao Tong University and SII Generative AI Research Lab (GAIR) shows that training large language models (LLMs) for complex, autonomous tasks does not require massive datasets.

ABSTRACT: Since its independence, Zimbabwe has developed various education systems that address various post-colonial questions. Still, these education systems have been disputed due to their ...