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.
Professors Jennifer Eberhardt and Dan Jurafsky, along with other Stanford researchers, detected racial disparities in police officers’ speech after analyzing more than 100 hours of body camera footage from Oakland Police.
Researchers are developing a type of virtual reality display that adapts to differences in how we see depending on whether we need glasses or how old we are. This technology could reduce headaches or nausea caused by existing VR headsets.
Smartphone speech recognition software is not only three times faster than human typists, it's also more accurate. The researchers hope the revelation spurs the development of innovative applications of speech recognition technology.