Beijing National Research Center for Information Science and Technology

Towards Wearable Opportunistic Crowdsensing for Open-Vocabulary Activity Data Collection Through User-Scheduled Trigger-Action Routines

Collecting richly labeled wearable activity data in everyday settings remains difficult because retrospective annotation is costly and often imprecise. Prior data collection apps rely on a labor-intensive self-reporting strategy and primarily treat participants as crowd labelers....

Stress-engineered 0.34 nm graphene memristors for low-power probabilistic computing

Memristors are promising for neuromorphic computing electronics, yet scaling is hindered by the difficulty of fabricating ordered nanoscale electrodes. Here, we report an angstrom-scale graphene-edge memristor with a geometrically defined 0.34 × 0.34 nm2 crossed-electrode area. K...