Data is the source of intelligence for foundation models. The scaling of language models has shown that model capability ...

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 ...

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, ...

The 160-page Slator Data-for-AI Report provides a comprehensive view of the emerging global market for Data-for-AI — the datasets used to build and deploy AI systems, and the commercial ecosystem that ...

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

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.

Official PyTorch implementation of the paper "MLP: Motion Label Prior for Temporal Sentence Localization in Untrimmed 3D Human Motions"(TCSVT 2024). It should process ...

Abstract: Point-based object localization (POL), which pursues high-performance object sensing under low-cost data annotation, has attracted increased attention. However, the point annotation mode ...