A device that’s turned off doesn’t suck battery life, but it also doesn’t work. Now a low-power system that’s always on the alert can turn devices on when they are needed, saving energy in the networked internet of things.
A new machine learning algorithm developed by Stanford researchers could help governments and resettlement agencies find the best places for refugees to relocate, depending on their particular skills and backgrounds.
Software developed by Stanford astrophysicist Giacomo Vianello models and combines otherwise incompatible astronomical observations. It contributed to recent research into the origin of antimatter near Earth.
A global study based on daily steps counted by smartphones discovers “activity inequality.” It’s similar to income inequality, except that the “step-poor” are prone to obesity while the “step-rich” tend toward fitness and health.
A new deep learning algorithm can diagnose 14 types of heart rhythm defects, called arrhythmias, better than cardiologists. This could speed diagnosis and improve treatment for people in rural locations.