AI model crossNN identifies over 170 tumor types with high accuracy using genetic material, offering fast, non-invasive ...

This article explores the current applications of artificial intelligence (AI) in chromatography. It anticipates AI’s ...

Explore how Bittensor's subnet model powers scalable, open-source AI, enabling global collaboration, rewards, and innovation ...

To tackle those problems, we present a methodology to automatically map anomalies on the road, namely speed bumps in this study, using an off-the-shelf camera (GoPro) and Machine Learning ... to speed ...

Abstract: Anomaly detection in network traffic is a critical aspect of network security, particularly in defending against the increasing sophistication of cyber threats. This study investigates the ...

This study explores the application of machine learning techniques to predict compliance audit results and introduces the Balanced Scorecard as an independent variable to improve prediction accuracy.

Flow chart of SAGAN. These GAN modules enhance the detection ... In a deep learning model for object detection, FPS is used to represent the inference speed of the model. Usually, there are a small ...