What you need to know
- A team of researchers from Cornell University published a paper detailing how they trained AI to listen to audio inputs from keyboards and interpret what the user typed.
- With specific keyboards and matching references, the AI was able to detect what was typed with 95% accuracy.
- Using touch for typing input reduced keystroke recognition down to 40-64%, while white noise and extra keystrokes also lowered the accuracy.
