Identification of each animal in a collective becomes possible even when individuals are never all visible simultaneously, enabling faster and more accurate analysis of collective behavior.

Biomedical data analysis has evolved rapidly from convolutional neural network-based systems toward transformer architectures and large-scale foundation ...

A new study shows that self-supervised artificial intelligence may offer a more practical path for detecting concrete cracks ...

Researchers at Tohoku University and Future University Hakodate have trained cultured rat cortical neurons to perform ...

Early problems with language can have a lasting negative impact on social and emotional development. Building on this foundation, a new groundbreaking ...

Unsupervised learning is a branch of machine learning that focuses on analyzing unlabeled data to uncover hidden patterns, structures, and relationships. Unlike supervised learning, which requires pre ...

ABSTRACT: Foot-and-Mouth Disease (FMD) remains a critical threat to global livestock industries, causing severe economic losses and trade restrictions. This paper proposes a novel application of ...

Abstract: Network traffic classification (NTC) plays an essential role in managing, securing, and optimizing networks. Supervised learning methods face challenges such as label scarcity. Given that ...

Abstract: Network traffic classification (NTC) is vital for efficient network management, security, and performance optimization, particularly with 5G/6G technologies. Traditional methods, such as ...

Euresys announce the availability of Cost-Effective Inference Licenses for image classification, supervised or unsupervised segmentation and object localization. When implementing Deep Learning on ...