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Building a High-Precision Defect Recognition System: Empowering Machine Vision Detection Technology with Unsupervised Learning Algorithms

The core value of unsupervised learning lies in its ability for data-driven exploration, making it particularly suitable for ...
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Simeon Denis Poisson's work in probability theory underpins modern AI and machine learning applications

The Poisson distribution is widely used in artificial intelligence (AI) and machine learning. In Bayesian inference, probability distributions often help solve problems that would otherwise be ...

Probability theorem gets quantum makeover after 250 years

How likely you think something is to happen depends on what you already believe about the circumstances. That is the simple ...

Unlocking AI: Why Mathematical Basics Are The Key To AI Mastery

During the making of an AI model, Performance metrics like accuracy, precision, recall, F1-score, ROC curves are used to ...
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Machine learning to predict high-risk coronary artery disease on CT in the SCOT-HEART trial

Background Machine learning based on clinical characteristics has the potential to predict coronary CT angiography (CCTA) findings and help guide resource utilisation.Methods From the SCOT-HEART ...

Ailong Applies for Deep Learning Machine Vision Patent, **AI Defect Detection** Welcomes New Breakthrough

Nanjing Ailong Automation Equipment Co., Ltd. recently announced that it has applied for a patent titled "Real-time Detection and Classification Method and System for Machine Vision Defects Based on ...