Cai Cai's Machine Learning Sklearn Class: Understandable from Scratch, from Model Invocation to Practical Implementation

The design of sklearn follows the "Swiss Army Knife" principle, integrating six core modules: Data Preprocessing: Similar to cleaning ingredients (handling missing values, standardization) Model ...

Physics-informed AI learns local rules behind flocking and collective motion behaviors

Researchers at Seoul National University and Kyung Hee University report a framework to control collective motions, such as ring, clumps, mill, flock, by training a physics-informed AI to learn the ...
EDN

Purpose-built AI inference architecture: Reengineering compute design

Instead of bending a training-centric design, we must start with a clean sheet and apply a new set of rules tailored to ...
Visual Studio Magazine

Kernel Ridge Regression with Cholesky Inverse Training Using C#

Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single ...
Scientific Research Publishing

A New Method to Predict the Mechanical Behavior for a Family of Composite Materials ()

Mînzu, V. and Arama, I. (2025) A New Method to Predict the Mechanical Behavior for a Family of Composite Materials. Journal ...

20 Agentic AI Design Patterns for Building Smarter, Safer AI Systems in 2025

Learn how agentic AI design principles like error handling and adaptive learning can transform AI into a dynamic ...
Hosted on MSN

A Guide to DeFi: Understanding Decentralized Finance

Decentralized finance (DeFi) is a revolutionary shift in the financial landscape, offering a blockchain-based system that facilitates transactions without relying on traditional intermediaries like ...