Lewis Rhodes Labs
Lewis Rhodes Labs applies neuromorphic processing solutions to unsolved problems. Inspired by how the sensory cortex processes data, LRL developed NPUsearch, a search in storage system with unparalleled precision, speed, and low power consumption.
The resulting state-of-the-art pattern matcher allows content search at dramatically higher speeds, lower operational overhead, ultra-low power consumption, and cost.
NPUsearch technology brings a unique approach to search in part because it originated from research into the underlying mechanisms of developmental brain injury. Early work in the labs included computer models created to theoretically analyze neurological mechanisms of developmental brain recovery, previously described in animal models. Over time LRL’s co-founders realized features of the model were broadly applicable to a wide range of critical data analysis applications.
Working closely with Sandia National Labs, including a highly successful Grand Challenge, LRL was able to reduce the theory of neuromorphic computing to practice, demonstrating high resolution scanning of streaming data. More information here. More recently, Lewis Rhodes Labs has rolled out the initial version of NPUsearch on FPGA, integrated into computational SSD to generate fully-scalable, self-searching storage.