Could you be an AI data trainer? How to prepare and what it pays

AI data trainers who ensure the accuracy and viability of training data going into AI models are well-compensated, in-demand professionals. Two new studies projected potential annual incomes ranging ...
eLife

A differentiable model for optimizing the genetic drivers of synaptogenesis

This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...
Medical Dialogues

Interpretive models could help predict risk of preoperative DVT in elderly patients with hip fracture: Study

A new study published in the International Journal of General Medicine showed that physicians may reliably estimate the ...
MyLifeXP on MSN

How AI Machine Learning Is Transforming Driving Decisions

From Human Judgment to Algorithmic Intelligence Traditional driving relies on human perception, reaction time, and experience. Machine learning replaces this with systems that can analyse millions of ...
Scientific Research Publishing

Early Alzheimer’s Disease Detection from Short Speech Samples Using Lightweight, Interpretable Linguistic Markers ()

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...
Scientific Research Publishing

Cumulative Link Modeling of Ordinal Outcomes in the National Health Interview Survey Data: Application to Depressive Symptom Severity ()

Williams, A. and Louis, L. (2026) Cumulative Link Modeling of Ordinal Outcomes in the National Health Interview Survey Data: Application to Depressive Symptom Severity. Journal of Data Analysis and ...
Oncology Nurse Advisor

Machine Learning Model Predicts Nutritional Risk in Nasopharyngeal Carcinoma

Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.
EurekAlert!

Intelligent XGBoost framework enhances asphalt pavement skid resistance assessment

Researchers have developed a novel AI-driven framework using the XGBoost algorithm to accurately evaluate the skid resistance of asphalt pavements under various conditions. Published in Smart ...
Gothamist

Hochul signs bill banning NY landlords from using algorithm software to set rents

Building owners and property managers will no longer be able to use algorithm-based software to artificially inflate New Yorkers’ rents as a result of a bill signed into law by Gov. Kathy Hochul on ...
C&EN

Reactive Active Learning: An Efficient Approach for Training Machine Learning Interatomic Potentials for Reacting Systems

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Discovering chemical reaction pathways using quantum mechanics is impractical for many ...
The Lancet

Re-engineering a machine learning phenotype to adapt to the changing COVID-19 landscape: a machine learning modelling study from the N3C and RECOVER consortia

jDepartment of Genetics, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, USA kDepartment of Medicine, University of North Carolina at Chapel Hill School of Medicine, ...