Abstract: Custom object detection systems are essential for meeting the specialized requirements of diverse applications, including manufacturing and biomedical engineering. Conventional deep-learning ...

DEIMv2 is an evolution of the DEIM framework while leveraging the rich features from DINOv3. Our method is designed with various model sizes, from an ultra-light version up to S, M, L, and X, to be ...

AI-ready infrastructure solutions, hosted at the edge in Miami data centers, have been introduced by the cloud and bare metal ...

Large language models are machine learning models designed for a range of language-related tasks such as text generation and ...

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The $12K machine promises AI performance can scale to 32 chip servers and beyond but an immature software stack makes harnessing that compute challenging ...

Abstract: Recent advancements in computer vision (CV) research have been significantly accelerated by integrating real-time object detection and classification through deep learning techniques.