Anxiety and depression are surprisingly common among young children. But it can be hard to detect these conditions, known as “internalizing disorders,” because the symptoms are so inward-facing that parents, teachers and doctors often fail to notice them. Now, researchers have developed a tool that could help screen children for internalizing disorders to catch them early enough to be treated.

By combining deep learning algorithms and statistical methods, researchers have identified, in the genome of Asiatic individuals, the footprint of a new hominid who cross bred with its ancestors tens of thousands of years ago.

Minority and dissident communities face a perplexing challenge in countries with authoritarian governments. They need to remain anonymous to avoid persecution, but also must establish a trustworthy identity in their communications. An interdisciplinary group of researchers at UC Santa Barbara has designed an application to meet both of these requirements.

MIT researchers are hoping to advance the democratization of data science with a new tool for nonstatisticians that automatically generates models for analyzing raw data.