Austin, Dec. 19, 2025 (GLOBE NEWSWIRE) -- The global AI Annotation Market was valued at USD 2.39 billion in 2025E and is expected to reach USD 28.31 billion by 2033, growing at a CAGR of 17.46% over ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

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Abstract: Federated Semi-Supervised Learning (FSSL) aims to learn a global model from different clients in an environment with both labeled and unlabeled data. Most of the existing FSSL work generally ...

Abstract: Automated annotation of electronic medical records for patients with cerebral palsy (CP) is crucial for downstream clinical applications. However, most existing methods lack mechanisms to ...

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Cut and Learn for Unsupervised Object Detection and Instance Segmentation Cut -and- LE a R n (CutLER) is a simple approach for training object detection and instance segmentation models without human ...

Accurate naming of genetic variants is essential to identify clinical data that interpret the consequences of such variants. In partnership with the Human Genome Organization, we advocate for ...

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