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.

Build Your Own Custom ML Models with Hive AutoML

Hive announces a new AutoML tool to train, evaluate, and deploy customized machine learning models.

Flag AI-Generated Text with Hive’s New Classifier

Hive announces a new AI-Generated Text Detector that can differentiate between human-written and AI-generated text with high accuracy.

Spot Deepfakes With Hive’s New Deepfake Detection API

Hive announces a new Deepfake Detection API — a powerful tool that allows digital platforms to easily identify and moderate realistic synthetic images and video.

Detect and Moderate AI-Generated Artwork Using Hive’s New API

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.

Mensio Product Update

We are excited to announce a set of major upgrades to Mensio: reporting by sponsorship asset, reporting of verbal mentions, and a UI update.

Web Search: Visual Comparisons To Web Content Using Deep Learning

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.

Updates to Hive’s Best-in-Class Visual Moderation Model

An overview of new classes and other improvements to Hive’s visual moderation model in our latest general release

The Race for Automotive Sponsorship

We analyze the sponsorship landscape among auto makers using data from Mensio, Hive’s AI-powered media intelligence platform.

Deep Learning Methods for Moderating Harmful Viral Content

We look at content moderation shortfalls in the aftermath of the Buffalo attack and state-of-the-art moderation approaches for viral content