From Autonomous Driving to Sleep Tech: Why Self-Driving Teams Must Learn 'Silence'

Data from the Chinese Sleep Research Society shows that over 300 million people in China suffer from sleep disorders, while wearable devices have an average accuracy rate of only about 70% for sleep staging, with deep sleep detection errors exceeding 30 minutes. When a group of autonomous driving veterans bring their data closed-loop methodology into this space, we see not just a technological downgrade (or transfer), but a serious experiment regarding the "boundaries of user experience."