Karen Roehr-Brackin received funding from the British Academy/Leverhulme Trust (grant reference SRG23\230787) which supported the research project reported here. If you’ve always wanted to learn a new ...

Classic fault detection and classification has some classic problems. It’s reactive, time-consuming to set up, and any product change involves significant man-hours. Even then, it still misses a lot ...

Google Translate is getting a couple of upgrades that give it a serious functional boost. The mobile app now enables back-and-forth chats in real time with voice and on-screen text translations. The ...

This project implements road lane detection using a U-Net deep learning architecture. It provides training code, prediction outputs, and an interactive Gradio UI for real-time testing on images, ...

Development and Validation of an Ipsilateral Breast Tumor Recurrence Risk Estimation Tool Incorporating Real-World Data and Evidence From Meta-Analyses: A Retrospective Multicenter Cohort Study Data ...

ABSTRACT: Machine learning (ML) has revolutionized risk management by enabling organizations to make data-driven decisions with higher accuracy and speed. However, as machine learning models grow more ...

Background: Early detection of elevated acute stress is necessary if we aim to reduce consequences associated with prolonged or recurrent stress exposure. Stress monitoring may be supported by valid ...

Abstract: Human pose estimation and keypoint detection are essential tasks in computer vision, with widespread applications in areas such as action recognition, human-computer interaction, sports ...

“To maximize the likelihood that applications and patents will be found eligible under Section 101 by the USPTO and courts [after Recentive], applicants should carefully craft a narrative of a ...

Abstract: This research evaluates a cognitive AI model for unmanned aerial vehicles (UAV) detection using adversarial machine learning (AML) techniques. We test the model using the VisDrone dataset ...