IEEE

An Effective Temporal Convolutional Networks-Based Method for Detecting Android Malware Using Dynamic Extracted Features

Abstract: With an increase in the number and complexity of malware, traditional malware detection methods such as heuristic-based and signature-based ones have become less adequate, leaving user ...
Hosted on MSN

Common tasks people perform incorrectly every day

I highlight common everyday tasks that people often perform incorrectly. Inside an AI start-up’s plan to scan and dispose of millions of books Gold and silver’s $7 trillion wipeout delivers a painful ...
IEEE

Communication-Aware Task Allocation for the UAV Swarm via Multiobjective Asynchronous Policy Learning

Abstract: Distributed task allocation in UAV swarms is highly sensitive to communication overhead and frequent transmissions. Integrating reinforcement learning with task allocation shows great ...
TASS

Amur-LNG multiple-use rocket to perform maiden flight after 2030

This follows from the presentation of Dmitry Baranov, the Deputy CEO for rocket projects of the Russian state space corporation Roscosmos MOSCOW, January 27. /TASS/. The first launch of the ...
gadgets360

Android Malware Detected Using Machine Learning to Automatically Detect and Click on Ads

Android malware using artificial intelligence has been discovered carrying out hidden ad fraud on infected devices. It automatically clicks ads through concealed browser windows and spreads mainly ...