Few-shot image recognition has become an essential problem in the field of machine learning and image recognition, and has attracted more and more research attention. Typically, most few-shot image ...

Machine learning brings new insights to cell's role in addiction, relapse Date: April 30, 2025 Source: University of Cincinnati Summary: Researchers have applied object recognition technology to ...

Recent advances in artificial intelligence have significantly improved spectral data analysis. In this study, we used unsupervised machine learning to classify chemical compounds based on infrared (IR ...

From machine learning and deep learning to generative AI and natural language processing, different types of AI models serve various use cases—for example, automating tasks, developing better ...

Transfer learning enhances CNNs by allowing a model trained on a large dataset to be fine-tuned for a specific task. Transfer learning significantly reduces training time and resources, especially for ...

Now, though, new research claims that locally run bots using specially trained image-recognition models can match human-level performance in this style of CAPTCHA, achieving a 100 percent success ...

Artificial intelligence (AI) and machine learning (ML) are rapidly transforming business processes across all sectors, enabling greater personalization, automation and insights in diverse areas.

Posted in Science Tagged cnn, convolutional neural network, image recognition, insects, machine learning, neural network, taxonomy ...