Prediction Markets Let You Bet on Whether a Wildfire Will Burn Down Your Town

Wildfire survivors call fire-prediction markets “morally reprehensible” and worry they could increase the risk of arson.
GitHub

PhysMoP: Incorporating Physics Principles for Precise Human Motion Prediction

This repository includes the training and evaluation code for the above paper. python train_script.py --name data_physics --data True --physics True --pretrained_checkpoint DATA_CHECKPOINT ...
PC Tech Magazine

Best machine learning development companies for time series forecasting (2026)

The seven companies listed here cover the realistic range of what a buyer will encounter in 2026: embedded ML teams that own ...
Psychology Today

Attachment as Prediction, Development, and Mind Building

A new active-inference account reframes attachment styles as calibrated models of the world—with consequences for how we ...
GitHub

Hy 2 DL: Hydrological modeling using Deep Learning methods

Hy 2 DL is a python library to create hydrological models for rainfall-runoff prediction using deep learning methods. The repository includes implementations with Large-Sample Hydrology datasets such ...
Thorax

Performance of multivariable risk prediction algorithms in predicting COPD exacerbations: a population-based study

Introduction Efficient preventive management of acute exacerbation of chronic obstructive pulmonary disease (COPD) is ...
IEEE

Deep Neural Networks for Predicting Solar Radiation at Hail Region, Saudi Arabia

Abstract: Forecasted global horizontal irradiation (GHI) can help for designing, sizing and performances analysis of photovoltaic (PV) systems including water PV pumping systems used for irrigation ...
IEEE

Cognitive Complexity and Graph Convolutional Approach Over Control Flow Graph for Software Defect Prediction

Abstract: The software engineering community is working to develop reliable metrics to improve software quality. It is estimated that understanding the source code accounts for 60% of the software ...