Whole-mount 3D imaging at the cellular scale is a powerful tool for exploring complex processes during morphogenesis. In organoids, it allows examining tissue architecture, cell types, and morphology ...

🐛 Describe the bug When comparing a 2D depthwise convolution implemented in PyTorch vs. pure JAX/XLA on GPU, I observed that the PyTorch version runs roughly 3× slower and draws substantially more ...

Convolution is a remarkable property of the Fourier transform, often cited in the literature as the “faltung theorem”. In this tutorial, we will show similar properties for the Fourier series and also ...

An exploration of the uses of the AutoCAD software for 3D Drafting applications. In this Course students will gain experience utilizing the AutoCAD software in several 3D drafting applications and ...

This paper introduces Cross-D Conv operation, a novel approach that bridges the dimensional gap by learning the phase shifting in the Fourier domain. Our method enables seamless weight transfer ...

Traditional approaches, such as Density Functional Theory (DFT), are accurate but computationally expensive and unsuitable for high-throughput screening. This study introduces a machine learning (ML) ...

Magnetic switch traps quantum information carriers in one dimension Innovations in quantum sensing and computing could follow the discovery of how chromium sulfide bromide responds to magnetic ...

A deep dive into the uses of the AutoCAD software for various 2D Drafting applications. In this Course students will gain experience utilizing the AutoCAD software in several 2D drafting applications ...

However, as network depth and input data size increase, the computational complexity and memory requirements of 3D convolution rise significantly, demanding higher hardware resources and more training ...