By now, ChatGPT, Claude, and other large language models have accumulated so much human knowledge that they're far from simple answer-generators; they can also express abstract concepts, such as ...
In the first instalment of LCGC International's interview series exploring how artificial intelligence (AI)/machine learning ...
High-dimensional data often contain noisy and redundant features, posing challenges for accurate and efficient feature selection. To address this, a dynamic multitask learning framework is proposed, ...
Abstract: The emergence of machine learning (ML) has led to a transformative shift in software techniques and guidelines for building software applications that support data analysis process ...
Abstract: This paper presents a novel hybrid algorithm combining Ant Colony Optimization (ACO) and multi-model ensemble feature selection techniques to enhance the accuracy of Support Vector ...
1 Intelligent Equipment Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China 2 National Agricultural Intelligent Equipment Engineering Technology Research Center, ...
An artificial intelligence (AI)-assisted hardware design platform enables engineers to find the right components for their design projects using machine learning and smart algorithms. It selects the ...
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