Training artificial intelligence models is costly. Researchers estimate that training costs for the largest frontier models ...

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

Abstract: Synthesizing 3D content from single image has great potential in many real-world applications. To deal with the inherent ambiguity of single image, existing methods usually leverage ...

Abstract: The Transformer architecture has demonstrated remarkable results in 3D medical image segmentation due to its capability of modeling global relationships. However, it poses a significant ...

While Jonathan Blutinger, GSAS ’21, was pursuing a doctorate in mechanical engineering from the Graduate School of Arts and Sciences, he had an unusual idea. He wanted to use 3D-printing technology to ...