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: Robust model predictive control (MPC) algorithms are essential for addressing unavoidable errors due to the uncertainty in predicting real-world systems. However, the formulation of such ...

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 ...

Corporate leaders are racing to hire artificial intelligence talent, convinced that a few high-profile specialists can transform their businesses overnight. Instead, many are discovering that without ...

Overview Cloud analytics platforms in 2025 are AI-native, enabling faster insights through automation, natural language ...

Discover why startups in 2026 prefer trusted fuel delivery app development companies for safety compliance, logistics and ...

As digital marketing ecosystems expand, advertising creative production demands have risen significantly alongside requirements for visual coherence and style ...

“Convergence” closes that loop. It connects the systems where insights are generated with the systems where action happens.

They look, move and even smell like the kind of furry Everglades marsh rabbit a Burmese python would love to eat. But these bunnies are robots meant to lure the giant invasive snakes out of their ...

When it comes to the invasive and destructive Burmese python in Florida, it's as simple as those two words. Starting Friday (July 11) another step will be taken to reduce the population of these ...

A new kind of large language model, developed by researchers at the Allen Institute for AI (Ai2), makes it possible to control how training data is used even after a model has been built.