Michael Abramov

Effective carbon footprint calculations begin with robust data annotation, which forms the backbone of AI models. In an era where transparency and accountability for greenhouse gas emissions are essential for businesses and government organizations, well-organized and structured data labeling not only facilitates accurate climate impact assessment but also streamlines internal

AI systems that analyze historical court records now predict case outcomes. Machine learning is now deciphering patterns. What started as basic statistical models now predict outcomes across jurisdictions. Quality matters most. Careful curation separates useful information from digital clutter. That's why it's important to check every

By analyzing patterns in gameplay telemetry, studios are now creating worlds that evolve with every decision. Complex systems process millions of data points from game interactions and turn the raw numbers into actionable intelligence. These models detect subtle changes in engagement levels, identifying early churn signals and predicting when players

Modern games are undergoing a real revolution thanks to AI - especially in how non-player characters (NPCs) are created, react, and evolve, as well as how their behavior and navigation in space are built. NPC behavior is based on prescribed scripts: the character patrols a specific route, responds to triggers,

The main goal of such datasets is to train the model to recognize obstacles, estimate distance, and safely plan a flight path. The most common types of data are images from cameras, which can be regular RGB, infrared, or stereo, allowing you to see the depth of the scene. Depth

Keymakr announces a strategic partnership with Segments.ai, a leading labeling platform designed for 3D point clouds and multi-sensor formats. This collaboration aims to streamline labeling workflows, enhance accuracy, and reduce the time required to prepare large datasets, a critical factor for autonomous driving and other industries relying on 3D