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 ...

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 ...

If you thought 2025 had a lot of AI-related job displacement, just wait until next year. OpenAI’s latest AI model, GPT-5.2, achieved a new record in GDPval, an evaluation created by the company in ...

The Challenge: The CAFA 6 (Critical Assessment of Functional Annotation) competition requires predicting Gene Ontology (GO) terms for 224,309 proteins—a computationally intensive task demanding ...

Researchers at Chicago-based Northwestern University and Ann & Robert H. Lurie Children’s Hospital of Chicago developed AI models that identify children with high risk of developing sepsis within 48 ...

Abstract: To solve the problem of low prediction accuracy of SVM algorithm, this paper proposes a prediction model research method based on PSO-SVM kernel function hybrid algorithm, designs global and ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. You are free to share(copy and redistribute) this ...

In the 1960s, meteorologist Edward Lorenz was running weather simulations on an early computer system when he realized that a small rounding difference led to extremely divergent weather predictions.