Data science and machine learning teams face a hidden productivity killer: annotation errors. Recent research from Apple analyzing production machine learning (ML ...
Google launched custom annotations in Search Console performance reports, giving you a way to add contextual notes directly to traffic data charts. The feature lets you mark specific dates with notes ...
In this tutorial, we’ll learn how to leverage the Adala framework to build a modular active learning pipeline for medical symptom classification. We begin by installing and verifying Adala alongside ...
Abstract: Nucleus instance segmentation from histopathology images suffers from the extremely laborious and expert-dependent annotation of nucleus instances. As a promising solution to this task, ...
Uber is expanding its fleet of gig workers and creating a new category: AI annotation and data labeling. The ride-hailing company has started hiring contractors for a new AI and data-labeling division ...
Abstract: Named Entity Recognition (NER) is a key task to support biomedical research. In Biomedical Named Entity Recognition (BioNER), obtaining high-quality expert annotated data is laborious and ...
In recent years, the integration of machine learning (ML) into various sectors has revolutionized how we approach problem-solving and efficiency. Yet, behind the impressive outcomes of these models ...
AutoCAD has been around since 1982. The design software effectively replaces pen and paper drawings, allowing users to create 2D and 3D drawings on a computer. The software is standard across most ...
White matter hyperintensities (WMHs) on fluid-attenuated inversion recovery (FLAIR) images are imaging features in various neurological diseases and essential markers for clinical impairment and ...
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