With support from the W. M. Keck Foundation, a Stevens–Yale collaboration is now transforming graviton detection from a ...
Chintala's professional trajectory took off in 2014 when he joined Meta (then Facebook) as a software engineer at the ...
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 ...
To address the issues of missed detection and false detection during the defect inspection process of the PCB, an improved YOLOv7-based algorithm for PCB defect detection is proposed. Firstly, the ...
Abstract: Accurate and stable target detection is crucial for robotic grasping tasks under uneven lighting conditions. To address this, this paper proposes a target object detection network (YOLO-Net) ...
Introduction: Recent advances in artificial intelligence have transformed the way we analyze complex environmental data. However, high-dimensionality, spatiotemporal variability, and heterogeneous ...
The early diagnosis and accurate classification of lung cancer have a critical impact on clinical treatment and patient survival. The rise of artificial intelligence technology has led to ...
New adversarial techniques developed by engineers at Southwest Research Institute (SwRI) can make objects “invisible” to image detection systems that use deep-learning algorithms. These techniques can ...
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