Regularization is a technique used in machine learning to prevent overfitting, which is a situation where a machine learning model performs well on training data but poorly on unseen data (test data).

The paper generated by The AI Scientist-v2 passed peer review at a workshop of a top international AI conference. The ...

In the realm of quantum machine learning, MicroAlgo introduces a novel quantum regularization strategy called Quantum Entanglement Regularization (QER).

Organizations are turning to machine learning because of the return on investment. The ones doing it in real-time are topping the charts.

SHENZHEN, China, May 2, 2025 /PRNewswire/ -- MicroAlgo Inc. (MLGO) (the "Company" or "MicroAlgo") announced today the launch of their latest classifier auto-optimization technology based on ...