This work describes the establishment of an image analysis pipeline for signal correction, segmentation and quantitative data analysis of multilayered organoid and tumoroid systems. The revised study ...
Explore the moment of inertia tensor of a solid cube using two different methods. This short compares approaches, highlights symmetry, and shows how each method leads to the same tensor—building ...
Not everyone will write their own optimizing compiler from scratch, but those who do sometimes roll into it during the course ...
The smaller of two equally weighted objects is judged to be heavier when lifted. Here we disproved a leading hypothesis that this size–weight illusion is caused by a mismatch between predicted and ...
Abstract: DeepTensor is a computationally efficient framework for low-rank decomposition of matrices and tensors using deep generative networks. We decompose a tensor as the product of low-rank tensor ...
Abstract: Algebraic multigrid (AMG) methods are particularly efficient to solve a wide range of sparse linear systems, due to their good flexibility and adaptability. Even though modern parallel ...
At modern training scales, AI datasets are no longer curated by a single user, but collaboratively by multiple data engineers working on parallel data branches. In practice, engineers independently ...
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