Tech Xplore

Researchers discover a smarter way to solve vehicle routing problems using adaptive swarm learning

Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...
Journal of Medical Internet Research

Prediction of Moderate-to-Severe Sepsis-Associated Acute Kidney Injury Using a Dual-Timepoint Machine Learning Model: Development, Multiregional Validation, and Clinical ...

Objective: This study aimed to identify critical time points in SA-AKI progression development and validate dynamic, stratified machine learning prediction models for moderate-to-severe (Kidney ...
Tech Xplore

Inside Houston's real-time strategy for managing World Cup traffic

Houston has already felt the first wave of World Cup traffic. Now, with a high-stakes July 4 match approaching, officials are ...
The New York Times

Prediction Markets’ Next Major Bet: Wall St. Traders

Platforms like Kalshi let millions wager on sports and pop culture. They’re now hoping institutions will use them for big-ticket trading like hedging. By Michael J. de la Merced Most people use ...
IEEE

Federated Spatial-Temporal Synchronous Graph Convolutional Network for Cross-City Traffic Prediction

Abstract: Accurate traffic forecasting plays a vital role in modern intelligent transportation systems and enables proactive traffic management and well-informed decision-making. Although existing ...
IEEE

Continual Learning for Traversability Prediction With Uncertainty-Aware Adaptation

Abstract: Traversability prediction is a critical component of autonomous navigation in unstructured environments, where complex and uncertain robot-terrain interactions pose significant challenges ...