Abstract: Deep neural networks (DNNs) have enabled state-of-the-art performance across various applications. However, their deployment is often hindered by high energy demands. One solution is to ...

As time goes by, it seems like there is less and less of a need to write things down by hand. Letters are no longer necessary ...

In 2026, contextual memory will no longer be a novel technique; it will become table stakes for many operational agentic AI ...

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 ...

Using a diamond as a quantum simulator, scientists created a rondeau time crystal, which exhibited both long-range temporal ...

ESET researchers provide a comprehensive analysis and assessment of a critical severity vulnerability with low likelihood of ...

A nutrient-rich diet supports brain health and may help prevent chronic diseases linked to cognitive decline. Fatty fish, leafy greens, berries, and walnuts are especially beneficial due to their high ...

Abstract: Computing-in-memory (CIM) is a promising candidate for edge node processors by alleviating power-hungry memory access bottleneck [1 – [6]. While earlier CIM macros focused on efficient ...

Andrew Mayes Centre for Cognitive Neuroscience, School of Health Sciences, University of Manchester, Manchester, United Kingdom Introduction: Expectation shapes memory formation, with unexpected ...