Tech Xplore

Daydreaming algorithm helps AI remember what matters

During the day, our brain acquires new memories; at night, during sleep, it consolidates the important ones and eliminates ...
Hacker

The Layers of AI: From Classical Logic to Autonomous Agents

Software Engineer with 8+ years in IT. Passionate about building innovative solutions and staying ahead of tech trends. A complete breakdown of how every major AI concept connects — and why ...
Europe PMC

Machine learning for Parkinson's disease: a comprehensive review of datasets, algorithms, and challenges.

Parkinson's disease (PD) is a devastating neurological ailment affecting both mobility and cognitive function, posing considerable problems to the health of the elderly across the world. The absence ...
C&EN

MACE-OFF: Short-Range Transferable Machine Learning Force Fields for Organic Molecules

Engineering Laboratory, University of Cambridge, Cambridge CB2 1PZ, U.K. Department of Physics and Astronomy, University College, London WC1E 6BT, U.K. Yusuf Hamied Department of Chemistry, University ...
Scientific Research Publishing

Extra Trees Model for Heart Disease Prediction ()

1 Computer Science Department, Babcock University, Ilishan-Remo, Ogun State, Nigeria. 2 Computer Science Department, Adeleke University, Ede, Osun State, Nigeria. 3 Department of Applied Mathematics, ...
Frontiers

A comparative analysis of binary and multi-class classification machine learning algorithms to detect current frailty status using the English longitudinal study of ageing (ELSA)

Physical frailty is a pressing public health issue that significantly increases the risk of disability, hospitalization, and mortality. Early and accurate detection of frailty is essential for timely ...
SciELO

Predicting the Need for Blood Transfusions in Cardiac Surgery: A Comparison between Machine Learning Algorithms and Established Risk Scores in the Brazilian Population

Introduction: Blood transfusion is a common practice in cardiac surgery, despite its well-known negative effects. To mitigate blood transfusion-associated risks, identifying patients who are at higher ...
GitHub

On Breast Cancer Detection: An Application of Machine Learning Algorithms on the Wisconsin Diagnostic Dataset

Note: This repository is retired and will not be ported to use TF2. However, you may use this as a reference in doing so. This paper was presented at the 2nd International Conference on Machine ...