PCMag

This New Malware Lives on the Blockchain and Can't Ever Be Deleted. Here's What It Can Do

Hundreds of thousands of credentials from hundreds of companies are already compromised. Experts warn the campaign could ...
Ophthalmology Advisor

AI Model Detects Cataracts From Slit Lamp Images With High Accuracy

Investigators developed and validated a masked autoencoder deep learning model using vision transformer technology to automate the detection and grading of nuclear cataracts from slit-lamp images.
OECD

Using digital resources for learning

Standards and guidelines for development co-operation with concrete examples of their implementation ...
IEEE

Privacy-Preserving Android Malware Detection Using Deep Federated Learning

Abstract: This work represents a major breakthrough in the fields of legal Technology, digital governance and mobile cybersecurity. Malware attacks on Android are increasing daily at a considerable ...
PC Magazine

Malware Is Sleeping on the Blockchain, and It's Already Infected Dozens of Global Targets

It started with a work offer. Last year, the blockchain crime-detection firm Crystal Intelligence’s then-vice president of ...
Journal of Medical Internet Research

Performance Evaluation of Deep Learning for the Detection and Segmentation of Thyroid Nodules: Systematic Review and Meta-Analysis

The rapid advancement of artificial intelligence (AI) in medical image analysis, particularly deep learning (DL) algorithms, has provided novel solutions for automated TN detection. However, existing ...
IEEE

Hybrid Deep Learning Pipeline with BiLSTM-Attention Autoencoder for Malware Detection

Abstract: This paper presents a Deep Neural Network-based approach for detecting malware. Malware detection is one of the major problems that has increasing challenges due to the sheer volume of new ...