The COVID-19 pandemic changed the way many people approached their work across the globe. For Carnegie Mellon University Africa's Jema Ndibwile, it changed the way he viewed a completely different type of virus: a computer virus.

McGill University researchers have developed a more energy-efficient method of building AI systems that are better at measuring—and indicating—their own uncertainty. This will help users determine when human oversight is needed, when additional data should be collected and when a model is being asked to work beyond the conditions it was trained for, the researchers said.