Tracker Core
We pair temporal attention with motion priors for robust identity retention.
Aug 16, 2026 · 1 min read
Transformer-based detection and tracking for dynamic engineering scenes.

We pair temporal attention with motion priors for robust identity retention.

Constraint-driven action graphs for reliable autonomous agent execution.

Instruction tuning and evaluation for domain-specific support copilots.
Practical quantization-aware training to reduce latency and memory footprint without severe accuracy drops.