Betting on Prediction Markets Is Their Job. They Make Millions.

Both Kalshi and Polymarket, the two big prediction market platforms, were offering yes-or-no-style “mention markets” asking ...
GitHub

Jchin-1/Machine-Learning-Homeless-Shelter-Demand-Predictor

This project combines a high-accuracy machine learning model with a modern web application to predict shelter demand across Toronto's shelter sectors. Using historical data from 2021-2025, the system ...
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 ...
Medical Xpress

Machine learning can help mental health patients get better outcomes, research shows

Debate continues over the role of artificial intelligence in treating mental health conditions, but new research shows that machine learning models can help predict whether a person might benefit from ...
EurekAlert!

Geological risk prediction under uncertainty in tunnel excavation using online learning and hidden Markov model

Sparse early-stage data limits accurate geological risk assessment, increasing the chance of undetected hazards ahead of the TBM. By integrating borehole-derived information through an observation ...
Frontiers

Postpartum depression risk prediction using explainable machine learning algorithms

1 Department of Science and Education, Shenyang Maternity and Child Health Hospital, Shenyang, China 2 Department of Maternal, Child and Adolescent Health, School of Public Health, Shenyang Medical ...
Live Science

Scientists use quantum machine learning to create semiconductors for the first time – and it could transform how chips are made

Researchers have found a way to make the chip design and manufacturing process much easier — by tapping into a hybrid blend of artificial intelligence and quantum computing. When you purchase through ...
C&EN

Machine Learning Prediction of Critical Micellar Concentration Using Electrostatic and Structural Properties as Descriptors

Understanding and predicting surfactants’ critical micelle concentration (CMC) remains a key challenge for the rational design of functional amphiphiles. In this work, we develop a deep learning ...
IEEE

Air Quality Prediction Using Machine Learning: An Comprehensive Review

Abstract: Using machine learning (ML)-based prediction models could significantly improve the precision and effectiveness of traditional air quality models. This article provides a comprehensive ...