An idea from topology explains why you can never get rid of your cowlicks—and, oddly enough, it’s critical in nuclear fusion ...
Artificial intelligence is mastering the kinds of projects that have long helped to build the careers of young mathematicians ...
Mathematician Will Sawin discusses his experience reviewing and refining a mathematical proof devised by OpenAI's internal ...
Pre-trained vision foundation models (VFMs), such as DINO and CLIP, provide strong transferable semantic representations. However, their patch-level features are usually spatially coarse because ...
Abstract: Change detection (CD) is an important task in remote sensing image processing. The main research goal is to identify whether the target area has changed. Recently, the rise of deep learning ...
KernelOptimizer is an open-source tool that automates CUDA kernel optimization for PyTorch workloads using large language models (LLMs). Inspired by Stanford CRFM’s fast kernel research, it leverages ...
Abstract: Many imaging applications require the implementation of space-varying convolution for accurate restoration and reconstruction of images. Here, we use the term space-varying convolution to ...
This paper examines the conditions for the existence and nonexistence of positive solutions to a class of nonlinear Riemann-Liouville fractional boundary value problems of order α+2n, where α∈(m−1,m] ...
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