Interpretability tools make machine learning models more transparent by displaying how each feature influences predictions. Most tools offer both local and global explanations, helping users ...

Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited AI expertise in industrial fields such as factories, medical, and ...

A robust, from-scratch implementation of the CART (Classification and Regression Trees) algorithm for classification tasks, developed as part of the DATA2060 Machine Learning course. ├── data/ # Train ...

This video documents the process of learning cart PvP in Minecraft. The gameplay highlights the mechanics of minecart-based combat, including movement, timing, and strategies for dealing damage or ...

A project is trying to cut the cost of making machine learning applications for Nvidia hardware, by developing on an Apple Silicon Mac and exporting it to CUDA. Machine learning is costly to enter, in ...

Ted Kaczynski, whose anti-tech rants are finding a new generation of readers, shunned the brother who called the F.B.I. in an effort to halt his campaign of violence. “We both deserved a chance to ...

For his research in machine learning-based electron density prediction, Michigan Tech researcher Susanta Ghosh has been recognized with one of the National Science Foundation's highest honors. The NSF ...

Abstract: Source code similarity measurement, which involves assessing the degree of difference between code segments, plays a crucial role in various aspects of the software development cycle. These ...

A Stanford-led study published in Nature on Feb. 26 found that age-related changes witnessed in diseases like Alzheimer’s may be related to a relatively untapped area of research in the brain. The ...

Abstract: Code smells are design flaws that reduce the software quality and maintainability. Machine learning classification models have been used to detect different code smells. However, such ...