Search papers, labs, and topics across Lattice.
3
0
6
Achieving 96.3% accuracy in texture recognition with a neuromorphic system that consumes just 19.6 mW challenges the conventional power-performance trade-offs in robotic perception.
A novel software framework transforms high-level transformer models into efficient, deployable components for low-latency jet tagging on advanced AI hardware.
Tactile feedback, when strategically sampled and evaluated, unlocks robust and safe robotic insertion policies even under sub-millimeter tolerances.
