I Am Begging AI Companies to Stop Naming Features After Human Processes

Anthropic announced “dreaming” for AI agents to sort through “memories” at its developer conference. Can we not?

Machine learning reveals two main Parkinson's types and five subgroups

A new study led by researchers from VIB and KU Leuven shows that Parkinson's disease can be divided into distinct subtypes, ...
Hosted on MSN

Master linear algebra for AI success

Linear algebra isn’t just math—it’s the secret language of AI, machine learning, and data science. From representing data as matrices to optimizing neural networks, it’s everywhere. Understanding it ...
Hosted on MSN

AI is transforming materials science research

Artificial intelligence is revolutionizing materials science, from accelerating simulations to automating data extraction and real-time experimental analysis. New AI-powered tools like GrainBot, ...
Medscape

Machine Learning Algorithm Predicts Gout Flares Using RNA

A machine learning algorithm used gene expression profiles of patients with gout to predict flares. The PyTorch neural network performed best, with an area under the curve of 65%. The PyTorch model ...
Frontiers

An explainable machine learning model for predicting chronic coronary disease and identifying valuable text features

Chronic Coronary Disease (CCD) is a leading global cause of morbidity and mortality. Existing Pre-test Probability (PTP) models mainly rely on in-hospital data and clinician judgment. This study aims ...
Frontiers

Postpartum depression risk prediction using explainable machine learning algorithms

Postpartum depression (PPD) is a common and serious mental health complication after childbirth, with potential negative consequences for both the mother and her infant. This study aimed to develop an ...
IEEE

Designing Machine Learning Algorithms for Feature Extraction and Classification in Dengue Diagnosis

Abstract: In modern healthcare, predicting diseases and identifying their underlying causes are crucial areas of study. This paper proposes a novel feature selection method based on entropy scores and ...