The inability to reliably extract data from PDFs affects numerous sectors but hits hardest in areas that rely heavily on ...

CAM is proposed to highlight the class-related activation regions for an image classification network, where feature positions related to the specific ...

Aware model to enhance Class Activation Mapping for image classification, achieving state-of-the-art performance in ...

The district is using data and technology to transform how it connects people experiencing homelessness to shelters with beds ...

The film discusses the various techniques of clay decoration in pottery, emphasizing the use of simple shapes like cylinders and spheres. It explores different methods of surface decoration, including ...

As AI technologies continue to evolve, they offer investors powerful tools to navigate the complexities of modern financial ...

The study reveals that XAI methodologies are essential for making black-box AI models more transparent. Traditional ML models ...

Researchers observed a long-predicted fractal energy pattern in twisted carbon materials, confirming quantum theories.

The pair tested their approach on the Abstraction and Reasoning Corpus (ARC-AGI), an unbeaten visual benchmark created in 2019 by machine-learning researcher François Chollet to test AI systems' ...

Read more about New deep learning model achieves high accuracy in detecting weeds in rice fields on Devdiscourse ...

Deep neural networks can quantify facial characteristics more accurately than previous methods, improving predictions of ...