Decode the AI buzzwords you see daily. Learn 10 essential terms, such as model, tokens, prompt, context window, and ...

As for the AI bubble, it is coming up for conversation because it is now having a material effect on the economy at large.

When pitching the use of a model, data scientists rarely report on its potential value. They then experience an unnerving ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

We take a look back at some of the biggest SBC stories and interviews covered on our podcast over the last 12 months.

NITK develops SVALSA, a machine learning-based landslide warning system for the Western Ghats, enhancing disaster ...

Abstract: With the purpose of managing efficiency in a large number of published vulnerabilities, the time-intensive process requires significant effort and efficient vulnerability prioritization ...

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 ...

Who controls synthetic publics? Who benefits from their use? And what kind of democratic future is being built in our name?

Under the mentorship of Ph.D. student Venkatesh Sivaraman, Ziyong Ma spent the summer developing a tool designed to help clinicians query medical databases without needing programming expertise.

To quote a certain superhero: We're in the endgame now. The first playoff spots were clinched in Week 15, and at this point in the year, just about every result has the ability to swing a playoff race ...