3 Tips and Tricks to Building ML Models
Hive presented at CVPR last week, where we highlighted a few important considerations when building ML models for classification tasks.
Hive presented at CVPR last week, where we highlighted a few important considerations when building ML models for classification tasks.
Hive announces a new AutoML tool to train, evaluate, and deploy customized machine learning models.
Hive announces a new AI-Generated Text Detector that can differentiate between human-written and AI-generated text with high accuracy.
Hive announces a new Deepfake Detection API — a powerful tool that allows digital platforms to easily identify and moderate realistic synthetic images and video.
Hive announces a new API to aid in the moderation of AI-generated media. This powerful classification model identifies both AI artwork and its source engine.
We are excited to announce a set of major upgrades to Mensio: reporting by sponsorship asset, reporting of verbal mentions, and a UI update.
Hive announces a first-of-its-kind API that checks images against web sources. Web Search harnesses deep learning for human-level visual similarity analysis.
An overview of new classes and other improvements to Hive’s visual moderation model in our latest general release
We analyze the sponsorship landscape among auto makers using data from Mensio, Hive’s AI-powered media intelligence platform.
We look at content moderation shortfalls in the aftermath of the Buffalo attack and state-of-the-art moderation approaches for viral content