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Automated analysis of microscopic images offers a powerful new tool for predicting and managing under-deposit corrosion in ...
The Machine Learning Development Market is expected to grow from USD 35.0 billion in 2023 to USD 942.4 billion by 2033, with a CAGR of 39%. Machine learning adoption will drive higher efficiency, ...
To assess predictive potential, the researchers applied machine learning models—including gradient-boosted decision trees and ...
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Tech Xplore on MSNComputationally efficient anomaly detection achieved through novel dual-lighting modelIn a bid to improve quality control and reduce production errors, manufacturers are increasingly adopting automated anomaly ...
Advanced machine learning model, promises faster and more accurate estimation of wear-and-tear in industrial systems ...
A team of academics has used a simple machine learning algorithm to filter out so-called noisy trading in stock exchange data ...
AI-based anomaly detection helps engineers identify potential problems early, to improve process efficiency, says Rachel Johnson Industrial processes and ...
Ink authentication is often complicated by tampering, aging, and chemical variability. Now, forensic scientists are turning ...
The AI race is entering a new phase, with a sharp pivot from the brute-force scaling of training data to the strategic amplification of models after training. Recent disclosures around xAI’s Grok 4 ...
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Calgary Herald on MSNCalgary professor, students say AI models not meeting expectationsBraintoy AI CEO, Kwame Asiedu, said that Canadians are particularly skeptical about AI implementation when compared to ...
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India Today on MSNIndian researchers develop AI to detect industrial corrosionThe new AI-powered algorithm analyses high-resolution microscope images of metal surfaces to assess two crucial indicators of ...
Why Everyone’s Jumping Into AI Right Now AI isn’t just some tech buzzword anymore , it’s everywhere. From your phone's voice ...
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