Tiny memristor chip brings brain-model inference under 10 ms
striketheviol · reddit · 2026-07-21
A tiny memristor chip is reported to cut brain-model inference to under 10 milliseconds, with the figure showing a full neuromorphic pipeline and sub-10ms iteration latency.
- The chip targets high-fidelity geometry modeling and physical world models.
- The system claims sub-10ms latency per iteration and 3.82×–36.27× speedup over prior SOTA NDS hardware.
- The approach emphasizes compute-in-memory, reduced read/write overhead, and in-situ step-size tuning.
More from Embodied
- Tesla expands Robotaxi rides to seven areas, including new Orlando and Tampa zones — elonmusk · 2026-07-22
- Hands-on robotics workshop on Saturday may be the last in-person session before August — StewartalsopIII · 2026-07-22
- NVIDIA pitches World Foundation Models as a way to scale physical AI data generation — MonaJalal_ · 2026-07-22
- RoboMME Podcast Preview: Benchmarking Memory for Robotic Policies — chris_j_paxton · 2026-07-21
- Gritt says an 8-person crew now installs 3,000 to 4,000 solar panels a day — HaktanSuren · 2026-07-21
- A helium-powered flying robot whale aims to be a quiet companion pet — chris_j_paxton · 2026-07-21