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 ...

Abstract: This paper investigates efficient algorithm for Markov Decision Processes (MDPs) through Linear programming (LP). Generally, solving large-scale MDPs via standard LP solvers faces ...

The leading approach to the simplex method, a widely used technique for balancing complex logistical constraints, can’t get ...

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

Cui, J.X., Liu, K.H. and Liang, X.J. (2026) A Brief Discussion on the Theory and Application of Artificial Intelligence in ...

Introduction The escalating resistance of microorganisms to antimicrobials poses a significant public health threat. Strategies that use biomarkers to guide antimicrobial therapy—most notably ...

Vitalik ZK-proofs help make platforms like X fair and secure by verifying algorithm decisions with timestamps and controlled code release. Summary is AI generated, newsroom reviewed. Vitalik urges ...

If you happen to be on a Texas highway sometime this summer, and see a 50,000-pound semi truck barreling along with nobody behind the wheel, just remember: A self-driving truck is less likely to kill ...

Abstract: PointNet++ (MSG), a PointNet++ module, can accurately identify tree species from 3-D point clouds. However, one drawback of the MSG method is its inability to classify high-density point ...

Objective: To explore the risk factors of cognitive dysfunction in patients with leukoaraiosis (LA) and to construct a predictive model using machine learning. Methods: A total of 273 patients with LA ...

David Spade slammed a mall's tree-lighting ceremony for omitting the word "Christmas." In the Sunday episode of Spade and Dana Carvey's "Fly on the Wall" podcast, the 61-year-old "Grown Ups" actor ...