Ying-Cheng Lai, a Fulton Schools professor of electrical engineering and physics, is leading research that’s enabling machine learning technology to make longer-term predictions about interruptions, failures or other significant changes and trends in the workings of various systems and processes. His team’s use of artificial recurrent neural networks to increase predictability might eventually make it possible to forecast something like the spread of COVID-19 and other viruses and illnesses.