Transformers are a neural network (NN) architecture, or model, that excels at processing sequential data by weighing the ...

Awurum, N.P. (2025) Next-Generation Cyber Defense: AI-Powered Predictive Analytics for National Security and Threat Resilience. Open Access Library Journal, 12, 1-17. doi: 10.4236/oalib.1114210 .

Rep. Tim Burchett, R-Tenn., turned the tables on CNN on Monday when host Kate Bolduan accused President Donald Trump of refusing to bring down the political temperature after the assassination of ...

The fatal shooting of conservative activist Charlie Kirk this week on a Utah college campus marks the latest example of violence tearing through American politics across centuries and the ideological ...

Photometric redshift estimation is a critical component in large-scale galaxy surveys, enabling researchers to estimate distances to billions of galaxies without requiring time-intensive spectroscopic ...

Media mogul John Malone told CNN anchor Pamela Brown that the left-leaning network risks irrelevance if it cannot shed politics, reclaim neutrality and make its live signal easier to access worldwide.

What is CNN in Deep Learning? In this video, we understand what is CNN in Deep Learning and why do we need it. CNN (or Convolutional Neural Network) is the building block of all Computer Vision ...

Introduction: The traditional crack detection method usually requires a tedious process of sensor installation and removal, which seriously affects the efficiency of ...

CNN fired back at President Donald Trump on Tuesday for threatening to prosecute the network over its reporting of a new ICE-tracking app. The day before, CNN ran a segment about the creation of ...

Abstract: Real-time fault detection and classification are important for power system stability and resilience of the power grid to minimize downtime and prevent cascading failures. Numerical relays ...