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 ...

Data collected under the Death in Custody Reporting Act has some serious problems. Here’s how we fixed some of them.

Neural and computational evidence reveals that real-world size is a temporally late, semantically grounded, and hierarchically stable dimension of object representation in both human brains and ...

In this video, we will look at the details of the RNN Model. We will see the mathematical equations for the RNN model, and understand how one RNN Cell looks like. Recurrent Neural Network (RNN) in ...

Word Embedding (Python) is a technique to convert words into a vector representation. Computers cannot directly understand ...

This post will discuss potential solutions to fix some common Microsoft Word crashing issues. Some users are complaining that they are experiencing issues with Microsoft Word. According to them, ...

Abstract: Word embedding has become an essential means for text-based information retrieval. Typically, word embeddings are learned from large quantities of general and unstructured text data. However ...

If you're using Microsoft Word and the document fails to save, how do you recover it? It could be a system crash, the power fails, or your laptop battery suddently dies. Whatever the scenario, if ...