I remain bullish on US equities into 2026, expecting a 10% S&P 500 return, with small caps likely to outperform. Learn more about market outlook here.
Tech Xplore on MSN
New AI model accurately grades messy handwritten math answers and explains student errors
A research team affiliated with UNIST has unveiled a novel AI system capable of grading and providing detailed feedback on ...
Each line segment of a distance-time graph represents one part of a journey. A distance-time graph, sometimes referred to as a travel graph, is a way of representing a journey. It is helpful to have ...
Solution-state nuclear magnetic resonance (NMR) spectroscopy is the classical NMR spectroscopy approach used for molecular structure determination, where the experimental sample is studied while in ...
Abstract: Although Graph Neural Networks (GNNs) have exhibited the powerful ability to gather graph-structured information from neighborhood nodes via various message-passing mechanisms, the ...
Abstract: Recent progress in research on deep graph networks (DGNs) has led to a maturation of the domain of learning on graphs. Despite the growth of this research field, there are still important ...
This repository contains the code implementation for the paper "Distributed MARL for Scheduling in Conflict Graphs" presented at the 2023 59th Annual Allerton Conference on Communication, Control, and ...
This repository is the official implementation of methods from the paper Graph Attention Networks for Scheduling in Cloud Manufacturing and Logistics. We investigate task scheduling in cloud ...
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