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 ...

Understand Local Response Normalization (LRN) in deep learning: what it is, why it was introduced, and how it works in convolutional neural networks. This tutorial explains the intuition, mathematical ...

Abstract: Vocational education systems worldwide are under increasing pressure to adapt their curricula to the demands of digital transformation, particularly in enhancing English language integration ...

As AI automates more knowledge work, the organizations that thrive will be those that master human relationships. Matrix organizations present well-known challenges: difficulty influencing across ...

From Cape Town to Tehran to Lima to Phoenix, dozens of cities across the globe have recently experienced water shortages. In the next five years the world’s demand for fresh water could significantly ...

An underwater voyage has revealed a network of creatures thriving at the bottom of deep-sea ocean trenches, researchers said in a newly published paper. The deep-sea trenches, also called Hadal ...

Abstract: Ovarian cancer is one of the most challenging cancers to detect early, often leading to poor survival rates. This study explores supervised and unsupervised machine learning and deep ...

Artificial intelligence has become an invisible assistant, quietly shaping how we search, scroll, shop, and work. It drafts our emails, curates our feeds, and increasingly guides decisions in ...

The link of DLMC (Deep Learning Matrix Collection) is not accessible. · Issue #4 · apuaaChen/vectorSparse · GitHub vectorSparse Insights ...

One of the ironies of the moment we’re in is that this inversion of good and evil, truth and falsehood has become more widespread and extreme at the very time that science, technology, and ...