Abstract: Plant diseases remain a significant threat to global agriculture, necessitating rapid and accurate detection to minimize crop loss. This paper presents a lightweight, end-to-end system for ...
As the adoption of AI to provide customer service accelerates, managers would be well advised to remember that the human ...
Integrating deep learning in optical microscopy enhances image analysis, overcoming traditional limitations and improving classification and segmentation tasks.
From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...
Artificial Intelligence (AI) is revolutionizing the dynamics of technological advancement in the field of medical imaging, ...
Chinese tech giant Baidu released the latest version of its native artificial intelligence chatbot, Ernie Bot (Wenxin Yiyan) ...
The machine vision software manufacturer MVTec Software has announced a technology collaboration with Qualcomm Technologies to enable customers of MVTec HALCON software to access Qualcomm Dragonwing ...
Deep learning uses multi-layered neural networks that learn from data through predictions, error correction and parameter adjustments. It started with the ...
ABSTRACT: Machine learning (ML) has become an increasingly central component of high-energy physics (HEP), providing computational frameworks to address the growing complexity of theoretical ...
Abstract: Reliable uncertainty estimation has become a crucial requirement for the industrial deployment of deep learning algorithms, particularly in high-risk applications such as autonomous driving ...
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