A research team led by Prof. Li Xiangxian from the Anhui Institute of Optics and Fine Mechanics, the Hefei Institutes of ...
Some of the models used to forecast everything from financial trends to animal populations in an ecosystem are incorrect, ...
The use of artificial intelligence (AI) in employment decision-making is no longer a theoretical, future-tense possibility. It is here and ...
Machine Learning (ML) algorithms have revolutionized various domains by enabling data-driven decision-making and automation.
A research team has developed a powerful computational tool—the Algorithmic Root Trait (ART) extraction method—that can “see” beyond human perception to uncover hidden features in plant roots.
Their study is centred around answering three research questions: Do ANNs perform better than the traditional multiple ...
Abstract: Asthma, a prevalent chronic respiratory condition, poses significant challenges to public health worldwide. Accurate and early prediction of asthma risk can greatly aid healthcare ...
Causal Machine Learning (CML) unites ML techniques with CI in order to take advantage of both approaches’ strengths. CML ...
A conversation with the trailblazing computer scientist, who is on a mission to augment human care with the latest in AI and machine learning technology ...
Abstract: This paper conducts a thorough comparative analysis of optimization algorithms for an unconstrained convex optimization problem. It contrasts traditional methods like Gradient Descent (GD) ...
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