A highly efficient form of unsupervised learning that uses large scale datasets and integrates elements of applied mathematics with deep learning.
Our unified approach, built on Deep Teaching™ and novel generative AI DNN architectures, enables continuous improvement of autonomous driving software, creating the most reliable and feature-rich high-end ADAS through L4 systems for mass production.
By leveraging large scale auto-labeling and AI-based simulation, our approach scales effectively for training and validation in all autonomous driving applications.
Explore Helm.ai real-time AV software, foundation models, and AI-based development and validation tools.
