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Tech Xplore on MSNImage-based model enhances the detection of surface defects in low-light industrial settingsIn industry, the detection of anomalies such as scratches, dents, and discolorations is crucial to ensure product quality and ...
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Tech Xplore on MSNReal-time boundary detection from noisy images and single-shot HDR imaging expand applicationsPatent-pending imaging technologies created in Purdue University's College of Engineering could be developed and ...
A new collaboration between University of California Merced and Adobe offers an advance on the state-of-the-art in human ...
Purdue engineers are developing CT-Bound and MetaHDR, imaging technologies with applications as broad as medical imaging, ...
And we pore over customer reviews to find out what matters to real people who already own and use the products and services we’re assessing. When you click through from our site to a retailer ...
Identifying prose from a computer versus human is difficult, even for OpenAI, which shut down its AI text-detection tool ... if you suspect the use of language models, then engage in a dialogue ...
AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow ... To run the SageMaker local integration tests (aside from tensorflow_inference), use the ...
Abstract: Detecting tea leaf blight (TLB) in UAV remote sensing images is a challenging task ... influence of complex backgrounds on the detection results, and improves the detection accuracy through ...
As schools grapple with how to spot AI in students' work, the FTC cracks down on an AI content detector that promised 98% accuracy but was only right 53% of the time.
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