An automated machine-learning program developed by researchers from Edith Cowan University (ECU) in conjunction with the ...

An automated machine learning program has been able to identify potential cardiovascular incidents or fall and fracture risks based on bone density scans taken during routine clinical testing.

Imagine trying to tell identical twins apart just by looking at their fingerprints. That’s how challenging it can be for ...

Sydney, April 30 Australian and Canadian researchers have developed a cutting-edge machine learning algorithm capable of rapidly identifying heart disease and fracture risks using routine bone density ...

To address these issues, we first propose Distributed Accounts Association Algorithms (D-AAA) for matching service accounts with malicious accounts based on Gromov-Wasserstein (GW) metric, and apply ...

New research shows that AI writing assistants can unintentionally homogenize global writing styles, pushing non-Western users to sound more American. In a study comparing Indian and American users, AI ...

Implementation of algorithms such as normal equations, gradient descent, stochastic gradient descent, lasso regularization and ridge regularization from scratch and done linear as well as polynomial ...

[JMLR (CCF-A)] PyPop7: A Pure-Python Library for POPulation-based Black-Box Optimization (BBO), especially *Large-Scale* variants (including evolutionary algorithms, swarm-based randomized optimizers, ...