Researchers at Mount Sinai have developed a transformer-based tool to analyse sleep stages more accurately, using over 1-million hours of sleep data.

A transformer-based AI model analyzes eight-hour sleep signals from brain, movement, cardiac, and respiratory data to generate summaries, which are then used to classify sleep stages for the ...

The researchers emphasize that this AI tool, while promising, would not replace clinical expertise. Instead, it would serve as a powerful aid for sleep specialists, helping to speed up and ...

The internet has exploded with Studio Ghibli-inspired AI images generated ... chill on generating images," calling the demand "insane" and saying that the "team needs sleep." ...