How self-supervised learning may boost medical AI progress

Were you unable to attend Transform 2022? Check out all of the summit sessions in our on-demand library now! Self-supervised learning has been a fast-rising trend in artificial intelligence (AI) over the past couple of years, as researchers seek to take advantage of large-scale unannotated data to develop better machine learning models. In 2020, Yann Lecun, Meta's chief AI scientist, said supervised learning, which entails training an AI model on a labeled data set, would play a diminishing role as supervised learning came into wider use. "Most of what we learn as humans and most of what animals learn is in a self-supervised mode, not a reinforcement mode," he told a virtual session audience during the International Conference on Learning Representation (ICLR) 2020.