machine-learning model

New York's outdated Electronic Benefits Transfer (EBT) cards lack modern fraud protection, leaving users vulnerable to unauthorized charges with no reimbursement. California reduced benefits theft by 76% using chip-and-tap cards and machine-learning fraud detection, highlighting viable solutions absent in New York.

A machine-learning model uses smartphone cameras to measure heart rate during normal daily phone use and estimate resting heart rate, potentially improving heart health monitoring. The technology was published in Nature on June 1, 2026.