Models, accelerators, hardware and reusable building blocks for AI systems.

AI models and reusable model packages ready to inspect, adapt, train, and deploy.

HLS, RTL, FPGA implementations, chip designs, and optimized hardware mappings.

Boards, accelerator targets, and documented hardware platforms.

Reusable drivers, device components, interfaces, and robot assets.

Datasets and algorithms used for training, evaluation, adaptation, and experiments.

Embedded, connected, robotics, autonomous, simulation, and complete reference systems.

Runtime packages and verification suites for reproducible execution and deployment.

Published research artifacts with provenance, documentation, and reproducibility evidence.