Unearthing experimental materials data buried in scientific papers using LLMs

Technologies that underpin modern society, such as smartphones and automobiles, rely on a diverse range of functional ...
The New York Times

Our Favorite Paper Planners

We independently review everything we recommend. When you buy through our links, we may earn a commission. Learn more› By Jackie Reeve, Kaitlyn Wells and Melanie Pinola You can find plenty of phone ...
GitHub

An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem

🚀 Update: If you are interested in this work, you may be interested in our latest paper and up-to-date codebase bringing together several architectures and learning paradigms for learning-driven TSP ...
IEEE

Semi-Supervised Learning With Graph Learning-Convolutional Networks

Abstract: Graph Convolutional Neural Networks (graph CNNs) have been widely used for graph data representation and semi-supervised learning tasks. However, existing graph CNNs generally use a fixed ...
IEEE

3-D Shape Measurement of Translucent Objects Based on Fringe Projection

Abstract: Fringe projection profilometry (FPP) has been widely used in various fields because of its advantages of noncontact, nondestructive, high precision, and high speed. However, due to the ...