Scientific Research Publishing

Traffic Speed Prediction Based on Autoencoder and Deep Learning ()

Traffic prediction is the core of intelligent transportation system, and accurate traffic speed prediction is the key to optimize traffic management. Currently, the traffic speed prediction model ...
Scientific Research Publishing

Traffic Speed Prediction Based on Autoencoder and Deep Learning ()

College of Mathematics and Statistics, Northwest Normal University, Lanzhou, China. Traffic prediction is the core of intelligent transportation system, and accurate traffic speed prediction is the ...
The Verge

Microsoft has an AI agent that can detect malware.

Microsoft is announcing Project Ire today, an autonomous AI agent that can analyze and classify malware without assistance. Developed by Microsoft Research, Microsoft Defender Research, and Microsoft ...
GitHub

Kshitij2509/Malware-Detection-Using-Machine-Learning

This project implements a graph‑based machine learning framework to detect malware in Windows Portable Executable (PE) files. We extract structural features from DLL/API call graphs and train ...
PC Magazine

Microsoft's AI Prototype Can Reverse Engineer Malware, No Human Needed

Although Project Ire is a prototype, Microsoft says the 'AI agent' can (in some cases) reverse engineer any type of software on its own to determine if it's malicious. When he's not battling bugs and ...
Frontiers

Anomaly detection in radiotherapy plans using deep autoencoder networks

Purpose: Treatment plans are used for patients under radiotherapy in clinics. Before execution, these plans are checked for safety and quality by human experts. A few of them were identified with ...
IEEE

A Malware Detection Approach Using Autoencoder in Deep Learning

Abstract: Today, in the field of malware detection, the expanding limitations of traditional detection methods and the increasing accuracy of detection methods designed on the basis of artificial ...