A practical strategy for traveling more on the same budget: travel windows, smart hubs and stopovers, ethical tools, and the 4x3 weekly model.

Abstract: In recent years, the complementary advantages of convolutional neural networks (CNNs) and Transformers have been utilized to achieve significant results in image classification tasks.

bDepartment of Environmental Health, College of Preventive Medicine, Third Military Medical University (Army Medical University), Chongqing, 400038, China cDepartment of Fetal Medicine & Prenatal ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Time trends in atmospheric concentrations serve to evaluate how effective the ...

While the number of ED1 projects is poised to accelerate this year, a growing number of developers and advocates question the math behind it. Soon after assuming office, L.A. Mayor Karen Bass issued ...

The world has happily embraced large language models such as ChatGPT, but even researchers working in AI don't fully understand the systems they work on, finds Alex Wilkins SILICON Valley’s feverish ...

Abstract: The major challenge faced by modern compute-in-memory (CIM) designs is that they rely heavily on mixed-signal data converters such as digital-to-analog converters (DACs) and ...

This repository is an official PyTorch implementation of "Omni-Dimensional Dynamic Convolution", ODConv for short, published by ICLR 2022 as a spotlight. ODConv is a more generalized yet elegant ...

The extended Finite Element Method (XFEM) is derived from the traditional finite element method for discontinuous problems. It can simulate the behavior of cracks, which significantly improves the ...

During secondary ice events, ice particle number concentrations in mixed-phase clouds can increase by orders of magnitude with profound implications for the cloud evolution. However, characterization ...