Monitor the stages of sleep with no sensors attached? Researchers at MIT and Massachusetts General Hospital have devised a new way using an advanced artificial (AI) intelligence algorithm. The AI algorithm analyzes the radio signals around you and translates the personalized measurements into the sleep stages: light, deep, or rapid eye movement (REM). The researchers first had to translate their measurements of pulse, breathing rate, and movement into sleep stages. Because these signals carry a lot of information that is irrelevant to sleep, researchers had to come up with a new AI algorithm based on deep neural networks, which eliminates the irrelevant information.The approach is expected to make it easier to diagnose and study sleep problems. The researchers plan to use this technology to study how Parkinson’s disease affects sleep and also learn more about sleep changes produced by Alzheimer’s disease, insomnia, sleep apnea and epileptic seizures.