In an industry built on managing risk and allocating capital, the ability to see clearly and act quickly is vital.

Data Product Agent Mesh makes the promise of Data Mesh practical by solving its operational complexity through intelligent ...

Abstract: Despite the remarkable progress in semantic segmentation tasks with the advancement of deep neural networks, existing U-shaped hierarchical typical segmentation networks still suffer from ...

Hello, I am currently working on a thorough benchmark for Rust FM-Indices. I am including the library AWRY, which uses sufr to construct the suffix array. I got a segmentation fault when running the ...

U-Net and its variants have been widely used in the field of image segmentation. In this paper, a lightweight multi-scale Ghost U-Net (MSGU-Net) network architecture is proposed. This can efficiently ...

They’re not our besties, but they’re more than just acquaintances. How much of ourselves do we owe them? Credit...Photo Illustration by Lauren Peters-Collaer Supported by By Lisa Miller Most of us ...

According to experts in neurology, brain tumours pose a serious risk to human health. The clinical identification and treatment of brain tumours rely heavily on accurate segmentation. The varied sizes ...

Abstract: Crack segmentation is a critical component in structural health monitoring. Conventional crack segmentation models usually focus on optimizing the cross-entropy-based objective function and ...