Researchers detail a neural-network model that can be unleashed on raw text and audio data from interviews to discover speech patterns indicative of depression. Given a new subject, it can accurately predict if the individual is depressed, without needing any other information about the questions and answers. [1] Detecting depression. Without understanding. But this is exactly the reason why people get depression in the first place. They try to understand. And they don’t. But the only thing to understand is that there is nothing to understand. Not as a computer. But as a human. Who is able to understand but chooses not to…
(c) Philosophy WIRES - Commenting world news from philosophy's perspective…
(c) Philosophy WIRES - Commenting world news from philosophy's perspective…
