- Conventional AI continuously processes data even when nothing changes, leading to high energy waste.
- Researchers developed a cerebellum-inspired memtransistor that ignores expected inputs and quickly detects unexpected events with significantly lower energy use.
- The device identified abnormal heart rhythms within one-fifth of a heartbeat with over 98% accuracy, using about 10,000 times fewer operations than conventional AI.
- It uses molybdenum disulfide in an asymmetric design to switch between excitatory and inhibitory modes, mimicking the cerebellum's neural balance.