DeepSeek has released its OCR 2 model with semantic reasoning architecture that abandons traditional scanning, achieving ...
Integrating deep learning in optical microscopy enhances image analysis, overcoming traditional limitations and improving ...
In 2025, North America held a dominan market position, capturing more than a 38.6% share, holding USD 0.64 Billion revenue.
Artificial Intelligence (AI) is revolutionizing the dynamics of technological advancement in the field of medical imaging, ...
AZoRobotics on MSN
AI-powered solar robot detects crop diseases in real time
This study presents a solar-powered robot integrating AI and IoT for real-time plant disease detection, offering a scalable solution for sustainable farming.
Abstract: Semantic segmentation is a fundamental task in medical image analysis, aiding medical decision-making by helping radiologists distinguish objects in an image. Research in this field has been ...
Cervical cancer detection and diagnosis are undergoing a transformation with the integration of advanced deep learning (DL) technologies. Despite ...
Advances in Total-Body PET/CT Research. Journal of Biosciences and Medicines, 14, 274-282. doi: 10.4236/jbm.2026.141021 . PET ...
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The efficacy of deep residual networks is fundamentally predicated on the identity shortcut connection. While this mechanism effectively mitigates the vanishing gradient problem, it imposes a strictly ...
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