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 ...

What is the neuropsychological basis for the brain's ever-changing contextualized goals? I explore this question from the perspective of the Affect Management Framework (AMF).

The native just-in-time compiler in Python 3.15 can speed up code by as much as 20% or more, although it’s still experimental ...

The presenter does a really excellent job of explaining the value and power of ChatGPT's collaborative editing feature, called Canvas. He also has a creatively bizarre filming set with a pool table, a ...

The 29-year-old woman who created the “MyBoyfriendIsAI” community on Reddit isn’t dating (or sexting) her A.I. boyfriend ...

Attributes determine the stats of your party members in Clair Obscur: Expedition 33. The most important thing you need to know about attributes is this: They make number go up. In this Clair Obscur: ...

From fruit flies that bite to a tiny mouse opossum and a feathered dinosaur preserved with the remains of its last meal, more ...

Abstract: Texture recognition is a challenging visual task since its multiple primitives or attributes can be perceived from the texture image under different spatial contexts. Existing approaches ...

Abstract: Community detection aims to identify dense subgroups of nodes within a network. However, in real-world networks, node attributes are often missing, making traditional methods less effective.

Lucas is a writer and narrative designer from Argentina with over 15 years of experience writing for games and news. He keeps a watchful eye at the gaming world and loves to write about the hottest ...