A new Columbia analysis of health information from more than 10 million people living in three countries and five different climates sheds light on the prenatal environmental exposures that link birth season and disease risk.

A research team led by Kathleen McKeown, founding director of the Columbia University Data Science Institute, is designing a computer system that can process, translate and summarize documents from different languages into English.

New sensors developed at Columbia will allow mobile and wireless-device users to tap into available, unused radio-frequency channels, enabling future communication systems to flexibly share the spectrum.

Columbia researchers are working with the New York City Department of Transportation to identify key combinations of factors and intervention measures to predict where and when crashes are likely to occur.

Scientists at Columbia and Lehigh Universities have developed a way to make self-taught machine learning systems transparent. Their tool feeds confusing, real-world inputs into the network to expose rare instances of flawed reasoning by clusters of neurons.