Artificial Intelligence (AI) impacts many industries and professions in different ways. A recent study looking at taxi drivers in Yokohama, Japan, shows that AI demand forecasting, which is unrelated to autonomous driving, can improve productivity in less-experienced drivers, helping close the skill gaps. This finding challenges the assumption that AI only favors high-skilled workers in technology-dependent industries.

Six University of Texas at Arlington students are participating in The Archer Fellowship Program, a prestigious University of Texas System initiative that offers firsthand experience in public policy and decision-making.

As solar energy becomes more affordable and widespread, farmland has emerged as a prime location for large-scale solar development. But with this expansion comes a persistent question: Do nearby property values suffer when solar farms move in? In a new paper published in the Proceedings of the National Academy of Sciences, researchers in Virginia Tech’s Department of Agricultural and Applied Economics in the College of Agriculture and Life Sciences looked at millions of property sales and thousands of commercial solar sites to shed some light on one of the mostly commonly cited downsides of large-scale solar adoption. 

Texas A&M research reveals the power of marketing in the battle against Chinese imports.