A team of human-computer interaction and AI researchers at Stanford sheds new light on why automated speech police can score highly accurately on technical tests, yet provoke a lot of dissatisfaction from humans with their decisions.
A system made with two inexpensive sensors proves to be more accurate than smartwatches for measuring calories burned during activity – and the instructions for making the system yourself are available for free online.
Three Stanford University entities will fund two new research projects on using artificial intelligence and machine learning to make energy systems more sustainable, affordable, resilient and fair to all socioeconomic groups.
The new center will provide a testbed to help academic and corporate researchers develop and deploy a new generation of physical structures and electronic technologies as prototypes for the urban environments of the 21st Century.
When it comes to the art of quilting, determining the feasibility and order of steps in advanced patterns can be notoriously complicated – and frustrating. By automating that process, a new algorithm enables quilters to focus on design and creation.
Monitoring environmental compliance is a particular challenge for governments in poor countries. A new machine learning approach that uses satellite imagery to pinpoint highly polluting brick kilns in Bangladesh could provide a low-cost solution.