Researchers have developed a machine-learning “speech clock” that estimates age from subtle patterns in how people speak and what they say. It is possible that people’s voices may contain certain signals of aging that go beyond their chronological age. According to a recent study of nearly 3,000 people from Latin America, machine learning was used […]This is a curated summary.