For people, matching what they see on the ground to a map is second nature. For computers, it has been a major challenge. A ...

Right now, the debate about consciousness often feels frozen between two entrenched positions. On one side sits computational ...

During his sabbatical, Will McGugan, maker of Rich and Textual( frameworks for making Textual User Interfaces (TUI)), put his ...

We conclude that brain states are shaped by local circuit mechanisms, large-scale connectivity and neuromodulation. A unified multiscale theory of cortical dynamics is relevant not only for ...

Using cutting-edge algorithms and exascale supercomputers, researchers have created the most realistic simulations yet of matter flowing into black holes. Building on decades of research, a group of c ...

Abstract: As a well-known graph embedding method, Graph Convolutional Networks (GCNs) have been widely applied to recommendation systems and social media analysis, in which privacy concerns regarding ...

We evaluate two representative tensor compiler backends, CINN (PaddlePaddle) and TorchInductor (PyTorch), on GraphNet's NLP and CV subsets. The evaluation adopts two quantitative metrics proposed in ...

Introduction: Adolescent suicide is a critical public health concern worldwide, necessitating effective methods for early detection of high suicidal ideation. Traditional detection methods, such as ...

The Uncertainty-Aware Fourier Ptychography (UA-FP) framework marks a transformative milestone in computational imaging, revolutionizing the way we address system uncertainties. This innovative ...