BIOENGINEER

Machine Learning Forecasts Rock Fracture Minutes Ahead in Lab Experiments

A random forest model trained on acoustic emission signals from granite hydraulic fracturing experiments forecast specimen ...
BIOENGINEER

Kernel-Tuned Machine Learning Pushes Network Intrusion Detection Toward 99% Accuracy on Benchmark Data

A new study reports that Random Forest and Gaussian and Sigmoid kernel Support Vector Machines, combined with systematic ...
HackerNoon

Your Drift Dashboard Can Be Green While Your Model Is Failing

Build a Python drift monitor with SciPy and Evidently, then test five scenarios showing why data drift doesn't always mean ...

Getting Started with Operations Research for Birdsong in Python

Getting Started with Operations Research for Birdsong in Python—Decoding forest sounds with "mathematical optimization" and ...

Taking on the Kaggle Housing Prices Competition Part 9: Predicting with the Final Model and Submitting Results

IntroductionLast time, in Part 7, we tried Blending, which combines the predictions of the five models we tuned. As a result, ...
Unite.AI

Fal Debuts FLUX 3 Max Video Model Post-Trained With Black Forest Labs

FLUX 3 Max on October 19, 2026, a video generation model post-trained by fal Research in collaboration with Black Forest Labs ...
news.laodong

Releasing an 8kg python back to the forest in Son La

Son La - Discovering a python weighing about 8kg in Chien Mon village, Chieng Khoong Commune Police coordinated with forest rangers to release it back into the forest. On October 9th, Chieng Khoong ...