Researchers recently demonstrated the possibility of squeezing a powerful artificial vision algorithm onto a simple, low-power computer chip that can run for months on a battery. This could lead to more advanced and energy-efficient AI capabilities such as image and voice recognition for home appliances, wearable devices and medical technologies, and to improvements in data security systems. Jae-sun Seo, a Fulton Schools associate professor of electrical engineering, says the advancements could also be used to enhance augmented reality technology — as well as open the way to significant progress in efforts to expand the performance capabilities of machine learning, one of Seo’s areas of expertise.