A new family of Android click-fraud trojans leverages TensorFlow machine learning models to automatically detect and interact ...

The Crypto24 ransomware group has been using custom utilities to evade security solutions on breached networks, exfiltrate data, and encrypt files. The threat group's earliest activity was reported on ...

Traffic monitoring plays a vital role in smart city infrastructure, road safety, and urban planning. Traditional detection systems, including earlier deep learning models, often struggle with ...

While I am running the custom object detection model using ultralyics_yolo. My application is got crashing when it is going to detect the first object. These are the logs while running: ...

The dust is beginning to settle on iOS 26, but there is one more smaller improvement that we wanted to make sure that we highlighted: the ability to set custom ringtones on the iPhone without using ...

Introduction: Recent advances in artificial intelligence have transformed the way we analyze complex environmental data. However, high-dimensionality, spatiotemporal variability, and heterogeneous ...

Abstract: Object detection forms an important area of research where the efforts are still being put forth to improve the accuracy of detection. Several approaches have been made which also include ...

I tried to run the object detection using tensorflow example on macOS and it did not compile. The compilation errors are because of conflicting usage of conditions in ...