Tech Xplore

New federated learning algorithm enables private, robust, and fast AI development

Three heads are better than one. Versions of this proverb are found worldwide and throughout history. Yet in the race to ...

Optimizing RNA design with AI and an Ising machine: Encoding matters

RNA has emerged as one of the most promising molecules in modern medicine, enabling advances from mRNA vaccines and gene ...
The Lancet

Development and validation of a generalisable machine learning algorithm for identifying interstitial lung disease cohorts: a retrospective cohort study

aDepartment of Medicine, University of California San Francisco, San Francisco, CA, USA bDepartment of Medicine, University of California Los Angeles, Los Angeles, CA, USA cDepartment of Medicine, ...
Communications of the ACM

Can We Understand How Large Language Models Reason?

Large language models can write essays, solve math problems, and generate computer code, but it’s not fully understood how ...

Researchers develop AI tool that finds the equations behind complex systems

Clarkson University researchers have developed an artificial intelligence tool that can uncover the mathematical equations ...
IEEE

K-Nearest Neighbors in Machine Learning: Theory, Practice, and Advances

Abstract: K-Nearest Neighbors (KNN) is a basic model in a ML field used for classification or prediction analysis owing to its efficiency. The following paper will be a survey paper focused on ...
GitHub

Remaining Useful Life (RUL) prediction of rolling element bearings using vibration signal analysis, feature engineering, FFT-based features, and machine learning models (Random ...

This project predicts the Remaining Useful Life (RUL) of industrial bearings using vibration signal analysis and machine learning. Unlike common bearing fault detection projects that use artificially ...
IEEE

BE-KNN: An Efficient Extension of k-Nearest Neighbors via Stable and Deterministic Ensemble Learning

Abstract: The k-Nearest Neighbors (KNN) algorithm is widely applied in machine learning due to its simplicity and versatility. However, its reliance on distance calculations leads to scalability ...