Penn researchers have developed a universal algorithm that allows 2D materials to retain mechanical strength after conversion into 3D structures. The team’s work takes inspiration from kirigami, an ...

Deep learning based semi-supervised learning algorithms have shown promising results in recent years. However, they are not yet practical in real semi-supervised learning scenarios, such as medical ...

In a recent study published in Nature Methods, researchers assessed a novel method for bacterial cell segmentation named Omnipose. Breakthroughs in microscopy are extremely promising for enabling ...