AI articles

Build a PEMS with Claude or Copilot — no code, no cost

Building a PEMS used to mean hiring someone who could write the model. We built one on real plant data using Claude, and recorded every step. Four short videos show the workflow: preparing the data, describing the objective in plain English, and checking the results against the training scores.

Why "Glass Box" AI is the Future of Emissions Compliance: Beyond the Neural Network Hype

Peer-reviewed research shows how explainable, tree-based machine learning models like XGBoost can deliver regulatory-ready NOₓ predictions without black-box complexity.

Can Open-Source Deep Learning Models Replace Expensive Stack Analyzers? This Study Says Yes.

A study led by Minxing Si of KeeWee Solutions Inc. demonstrates how facility operators can achieve stringent regulatory precision requirements for NOx monitoring using standard process data and free machine learning libraries.

Machine learning approach to calibration low-cost IoT sensors