The new defining topic in localization appears to be something called Contextual Understanding, powered by AI. It goes by other names: Content Intelligence, File X-Ray, Comprehensive Metadata, Content ...

Every AI model depends on labeled data. Data annotation is the process of tagging images, text, audio, or video so that ...

This important work introduces an integrated open-source platform for behavioral acquisition and pose estimation that substantially improves the accessibility and speed of real-time animal tracking ...

Hello! I'm Megumi Kümmel, a professional Writer and Japanese Localization Specialist / AI Post-Editor / Content Reviewer/ Journalist based in Europe. With a strong academic background (MBA) and ...

PSLpred is a computational web server developed for predicting the subcellular localization of Gram-negative bacterial proteins. The tool predicts whether a bacterial protein belongs to cytoplasmic, ...

Abstract: In precision agriculture, the application of artificial intelligence and high-power laser technology for weed control offers significant efficiency and accuracy advantages. Current ...

As 2025 draws to a close, the translation and localization industry looks noticeably different from where it stood at the start of the year. AI has been central to that shift – not through sudden ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. It is an exciting time for researchers working to link proteins to their functions.

Abstract: Deep learning-based computer vision models are typically data-hungry, resulting in the rise of dataset sizes. The consensus for computer vision datasets is that larger datasets lead to ...

This is a PyTorch implementation of our submitted manuscript. AFPILD: Acoustic Footstep-based Person Identification and Localization Dataset. CRNN: Convolutional Recurrent Neural Network. Abstract: We ...