Machine Learning Reveals Lack of Female Screen Time in Top Films

New Scientist, 3/8/2017

Shri Narayanan, from the University of Southern California, has developed a new program that runs facial recognition software and voice recognition software simultaneously to analyze gender bias in high-grossing box-office films. This program has analyzed 300 films, and the study shows that women are underrepresented on the big screen. Narayanan is also using machine learning and natural language processing to evaluate film scripts, to explore further biases.

IoT Early Warning System Helps Save People From Mudslides

Network World, 08/24/2016

This article describes an early warning system for mudslides and flood in rural El Salvador that uses a mesh network of simple devices, within local villagers’ needs and cultural structures. The article can be used to highlight differences between the U.S., where a vast array of technological advances can aid in mitigating disasters, and remote areas of the world where many of the basic technologies involved, such as cell-phone networks, do not exist or are not reliable.