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 ...

You can stop looking for glitches in the Matrix—it’s finally been proven that our universe is not merely a simulation running on some powerful alien civilization’s supercomputer. An international team ...

Abstract: In this paper, we investigate a data-driven framework to solve infinite-horizon Linear Quadratic Regulator (LQR) problems when the dynamics are partially unknown, with the additional ...

Arkansas is on track to see construction of three proposed data center projects in the next year valued at a combined $12 billion. Plans for the huge centers, which are not yet set in stone, come as ...

Lance datasets storing sparse matrix data in coordinate (COO) format achieve minimal compression compared to other columnar formats like Parquet. This results in storage sizes that are nearly ...

A new seminal review in a special issue of the Journal of Dairy Science® highlights that the complex structure of dairy foods affects their metabolism beyond just their composition David W. Everett, ...

If you eat a snack - a meatball, say, or a marshmallow - how will it affect your blood sugar? It's a surprisingly tricky question: the body's glycemic response to different foods varies based on ...

To continue reading this content, please enable JavaScript in your browser settings and refresh this page. Preview this article 1 min Armed with $20 million, a ...

High sparse Knowledge Graph is a key challenge to solve the Knowledge Graph Completion task. Due to the sparsity of the KGs, there are not enough first-order neighbors to learn the features of ...