Cyber Defense Magazine

AI’s Dual Role: Weaponization Vs. Protection

AI technologies act as a double-edged sword, with Machine Learning AI technologies enabling more sophisticated, rapid cyberattacks (including AI-driven ...
CNET

New Features Make NotebookLM More Flexible and Easier to Use

Blake has over a decade of experience writing for the web, with a focus on mobile phones, where he covered the smartphone boom of the 2010s and the broader tech scene. When he's not in front of a ...
IEEE

Temporal-Spatial Feature Extraction in IoT-Based SCADA System Security: Hybrid CNN-LSTM and Attention-Based Architectures for Malware Classification and Attack Detection

Abstract: This research presents a Convolutional Neural Network (CNN) and Long Short-Term Memory (LSTM) model developed for malware classification from IoT devices in the SCADA system and for ...
EurekAlert!

Bionic wearable ECG with multimodal large language models: coherent temporal modeling for early ischemia warning and reperfusion risk stratification

The workflow illustrates data acquisition from wearable sensors, hierarchical temporal feature extraction at multiple granularities, multimodal alignment with clinical text knowledge, and dual-task ...
IEEE

Spatiotemporal Feature Extraction from Integrated Multivariate Time Series via MCNN-LSTM for Wind Turbine Fault Diagnosis

Abstract: Wind turbine (WT) fault diagnosis faces challenges from imbalanced SCADA data, which degrades detection accuracy for minority classes. To address this issue, a fault diagnosis method based ...
The New York Times

Students Are Skipping the Hardest Part of Growing Up

Mr. Shirky, a vice provost at New York University, has been helping faculty members and students adapt to digital tools since 2015. See more of our coverage in your search results.Encuentra más de ...
Frontiers

RS-STGCN: Regional-Synergy Spatio-Temporal Graph Convolutional Network for emotion recognition

Decoding emotional states from electroencephalography (EEG) signals is a fundamental goal in affective neuroscience. This endeavor requires accurately modeling the complex spatio-temporal dynamics of ...