A new family of Android click-fraud trojans leverages TensorFlow machine learning models to automatically detect and interact with specific advertisement elements. The mechanism relies on visual ...

Tensorflow Object Detection API is the easy to use framework for creating a custom deep learning model that solves object detection problems. If you already have your own dataset, you can simply ...

Ailsa Ostovitz has been accused of using AI on three assignments in two different classes this school year. "It's mentally exhausting because it's like I know this is my work," says Ostovitz, 17. "I ...

The tech entrepreneur has said he purchased the bills from the U.S. Bureau of Engraving and Printing and customized them at a print shop Charlotte Phillipp is a Weekend Writer-Reporter at PEOPLE. She ...

Artificial intelligence is gaining traction within the institutional investment industry — and with allocators, fintech firms see an untapped opportunity. Allocators are becoming increasingly ...

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 ...

Abstract: This work focuses on the real-time detection of defective products on a production line of a Roti (Flatbread) maker machine. In this research work, an object detection model, ...

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 ...