AI models can predict the lengths of time patients will spend in the ICU, helping hospitals better manage their beds and, ideally, cut costs. But until now, doctors have had a hard time trusting the AI predictions because it's not good at describing the reasons behind the predictions. New research by Indranil Bardhan, Texas McCombs professor of information, risk, and operations management, makes AI’s outputs more understandable and useful to ICU doctors, an approach called explainable artificial intelligence (XAI).

AI-generated voices which sound like you are perceived as more trustworthy and likeable, with implications for deep-fakes and manipulation

Hundreds of industry leaders, scientists and educators gathered on Florida’s Space Coast last week to assess the state’s foothold in semiconductor production.