Advances in application of Artificial Intelligence

Scientists have recorded major breakthroughs in the application of Artificial Intelligence (AI) in health, weather forecasting and other areas of science. Scientists at the University of Houston's (UH's) Air Quality Forecasting and Modeling Lab have developed a new artificial intelligence system that could lead to improved ways to control high ozone problems and even contribute to solutions for climate change issues. The breakthrough, published online in the scientific journal, Scientific Reports-Nature, showed ozone levels in the earth's troposphere (the lowest level of the atmosphere) can now be forecast with accuracy up to two weeks in advance, a remarkable improvement over current systems that can accurately predict ozone levels only three days ahead. Professor of atmospheric chemistry and AI deep learning at UH's College of Natural Sciences and Mathematics, Yunsoo Choi, said: "This was very challenging. Nobody had done this previously. I believe we are the first to try to forecast surface ozone levels two weeks in advance."