A new, sophisticated Android malware uses machine learning to automatically detect and click on ads, making detection more challenging.
The malware can switch to a signalling mode that allows attackers to manually scroll and tap through a live stream of the virtual screen.
Since the fake clicks can only be programmed and automated, ad networks turned to behavioral analytics for defense. When the ...
In January 2026, Cadence unveiled its new Chiplet Spec-to-Packaged Parts ecosystem, aimed at simplifying engineering and speeding time to market for chiplets used in physical AI, data center and ...
A new family of Android click-fraud trojans leverages TensorFlow machine learning models to automatically detect and interact ...
This project focuses on accurately counting the number of people in a crowd using computer vision techniques. It accepts input in the form of images, videos, or even live streams, providing real-time ...
Chennai: IITM Pravartak Technologies Foundation, the Technology Innovation Hub of IIT Madras has opened admissions for the ...
Windows Server 2025 comes with great developments like Hotpatching for everyone, next-generation Active Directory and SMB, Mission Critical Data & Storage, Hyper-V & AI, etc. To get these features and ...
Abstract: In the human activity recognition (HAR) application domain, the use of deep learning (DL) algorithms for feature extractions and training purposes delivers significant performance ...
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