Michael Abramov

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

Combining traditional financial analysis with innovations such as autonomous vehicle safety modeling is changing data processing strategies. The shift from manual processes to automated solutions requires structured, validated information that delivers accurate predictions. Integrating machine learning accelerates analysis, but success depends on data preparation. Prioritize standardization and cleansing to reduce

Mobile networks today handle millions of signals every second. These signals include everything from user activity to system performance, and together, they create an overwhelming amount of raw data. Going through such information line by line would be impossible for a human engineer. Automated annotation solves this problem by sorting

Categorized visuals are the dream of autonomous detection tools. By dividing the content into three classes, real-world patterns, simple patterns, and dual patterns, the teams create AI that adapts to different infrastructure patterns. A 70/30 split between training and validation content ensures that the models generalize without overtraining. Combining

Traditional power grids, built for one-way power flow, are now suffering from the variability of solar and wind power, peak usage spikes, and aging infrastructure. Modern infrastructure requires real-time decision-making based on AI models trained on labeled operational data. These systems analyze weather conditions, consumer behavior, and equipment performance to