Over the past decade, advancements in machine learning (ML) and deep learning (DL) have revolutionized segmentation accuracy.

MIT researchers used sparse autoencoders to shed light on the inner workings of protein language models, an advance that could streamline the process of identifying new drugs or vaccine targets.