How a machine learning engineer built a churn prediction model that transformed a subscription platform’s retention strategy

A subscription technology platform with over 100,000 users was losing customers each month despite having access to ...
acm.org

From Prediction to Intervention: Integrating Counterfactual Reasoning into AI Decision-Making

The analysts working on AI projects have a crucial question: How will the interventions brought about by the AI cause the desired outcomes? To date, only about 20% of companies have managed to scale ...
IEEE

Enhanced Predictive Modeling for Anomaly Detection in Financial Transactions Using Machine Learning

Abstract: Credit card fraud detection presents a significant challenge due to the extreme class imbalance in transaction datasets. Traditional machine learning models struggle to achieve high recall ...
GitHub

StarVLA: A Lego-like Codebase for Vision-Language-Action Model Developing

[2025/12/25] We've released RoboCasa evaluation support, which was trained without pretraining and reached SOTA performance. Check out more details in examples/Robocasa_tabletop. [2025/12/15] ...
IEEE

Practical Nonlinear Model Predictive Control With Kolmogorov–Arnold Network Models

Abstract: This paper presents a novel approach to practical nonlinear model predictive control (PNMPC) using Kolmogorov–Arnold networks (KANs) as prediction models. KANs are based on the ...