BRN 7.02% 26.5¢ brainchip holdings ltd

While I cannot personally access the full paper published by...

  1. 9,562 Posts.
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    While I cannot personally access the full paper published by EDGX and ESA the following extracts make quite clear that in circumstances where connectivity does not exist or where latency is critical to performance as in ADAS and Robotics combining Brainchip's AKIDA technology with Nvidia GPU technology provides a significant advancement in the field of onboard computing.
    The following comes from Google Scholar:

    EDGX-1: A New Frontier in Onboard AI Computing with a Heterogeneous and Neuromorphic Design

    N Destrycker, W Benoot, J Mattias… - 2023 European Data …, 2023 - ieeexplore.ieee.org
    … not only the use of the NVIDIA Orin embedded SoC. It also … The current module design uses the BrainChip Akida AKD1000, a … The main communication interface for the AKD1000 is the …

    EDGX-1: A New Frontier in Onboard AI Computing with a Heterogeneous and Neuromorphic Design

    Nick Destrycker, Wouter Benoot, João Mattias, Ivan Rodriguez, David Steenari
    2023 European Data Handling & Data Processing Conference (EDHPC), 1-6, 2023
    In recent years, the demand for onboard artificial intelligence (AI) computing in satellites has increased dramatically, as it can enhance the autonomy, efficiency, and capabilities of space missions. However, current data processing units (DPUs) face significant challenges in handling complex AI algorithms and large datasets required for onboard processing. In this paper, we propose a novel heterogeneous DPU architecture that combines several different processing units into a single architecture. The proposed DPU leverages the strengths of each processing unit to achieve high performance, flexibility, and energy efficiency, while addressing the power, storage, bandwidth and environmental constraints of space. We present the design methodology for the DPU, including the hardware architecture and AI capabilities. The product represents a potentially significant advancement in the field of onboard AI computing in satellites, with applications in a wide range of space missions.“

    EDGX, Belgium

    EDGX, Belgium

    EDGX, Belgium

    BSC, Spain

    ESA, The Netherlands
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