Researchers demonstrate that misleading text in the real-world environment can hijack the decision-making of embodied AI systems without hacking their software. Self-driving cars, autonomous robots ...
Tabular foundation models are the next major unlock for AI adoption, especially in industries sitting on massive databases of ...
WiMi Studies Quantum Hybrid Neural Network Model to Empower Intelligent Image Classification BEIJING, Jan. 15, 2026––WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global ...
Traditional machine learning algorithms for classification tasks operate under the assumption of balanced class distributions. However, this assumption only holds in some practical scenarios. In most ...
ABSTRACT: Text classification plays a critical role in numerous natural language processing applications, yet limited work has addressed the unique linguistic structure of African languages such as ...
In an era of rapidly growing multimedia data, the need for robust and efficient classification systems has become critical, specifically the identification of class names and poses or styles. This ...
1 Department of Artificial Intelligence, Rare Sense Inc, Covina, CA, United States 2 Department of Electronic, Electrical and Systems Engineering, University of Birmingham, Birmingham, United Kingdom ...
ABSTRACT: This study addresses the growing demand for news text classification driven by the rapid expansion of internet information by proposing a classification algorithm based on a Bidirectional ...
Abstract: This review article provides a thorough assessment of modern and innovative algorithms for text classification through both observational and experimental evaluations. We propose a new ...
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