Neuromorphic chip dramatically reduces power requirements for rolling robot
techxplore.com
techxplore.com
That's an order of magnitude... in base 2
> They built a neuromorphic chip called TianjicX and put it in a small rolling robot called Tianjicat
> They also found that their neuromorphic chip-based robot had markedly reduced latency — [around one fifth of] the NVIDIA based system
Original research article: Neuromorphic computing chip with spatiotemporal elasticity for multi-intelligent-tasking robots - https://www.science.org/doi/10.1126/scirobotics.abk2948
> TianjicX, [... a 28-nanometer TianjicX neuromorphic chip with event-driven, high parallelism, low latency, and low power ...] can support true concurrent execution of multiple cross-computing-paradigm neural network (NN) models with various coordination manners for robotics. With spatiotemporal elasticity, TianjicX can support adaptive allocation of computing resources and scheduling of execution time for each task. Key to this approach is a high-level model... which bridges the gap between robotic-level requirements and hardware implementations. It abstracts the execution of NN tasks through distribution of static data and streaming of dynamic data to form the basic activity context, adopts time and space slices to achieve elastic resource allocation for each activity, and performs configurable hybrid synchronous-asynchronous grouping
It seems the ideas are, given that robots must be in general energy efficient, to both implement a system that allows for resource management, and an adequate hardware implementation.
The article text is not available, and no further details are evident for the neuromorphic side.