Explore the latest insights into computing’s future with ni2o’s new publication on the Brain Code Unit (BCU) and Fundamental Code Unit (FCU). Discover the innovative integration of neuroscience principles and computational design techniques. Dive into this thought-provoking exploration of emerging technologies and their potential impact on computing as we mimic the brain’s efficiency and adaptability. Read ni2o’s work fueling KIWI architecture and product development.
Click to access 2403.11563.pdf
Ni2o will present this work at the IEEE World Congress on Computational Intelligence (IEEE WCCI 2024) held at Pacifico Yokohama, Yokohama, Japan, June 30th – July 5th 2024.
Abstract:
Abstract—This paper introduces a groundbreaking digital neuromorphic architecture that innovatively integrates Brain Code
Unit (BCU) and Fundamental Code Unit (FCU) using mixed-signal design methodologies. Leveraging open-source datasets
and the latest advances in materials science, our research
focuses on enhancing the computational efficiency, accuracy, and
adaptability of neuromorphic systems. The core of our approach
lies in harmonizing the precision and scalability of digital systems
with the robustness and energy efficiency of analog processing.
Through experimentation, we demonstrate the effectiveness of
our system across various metrics. The BCU achieved an accuracy of 88.0% and a power efficiency of 20.0 GOP/s/W, while the
FCU recorded an accuracy of 86.5% and a power efficiency of
18.5 GOP/s/W. Our mixed-signal design approach significantly
improved latency and throughput, achieving a latency as low
as 0.75 ms and throughput up to 213 TOP/s. These results
firmly establish the potential of our architecture in neuromorphic
computing, providing a solid foundation for future developments
in this domain. Our study underscores the feasibility of mixed-signal neuromorphic systems and their promise in advancing the
field, particularly in applications requiring high efficiency and
adaptability.
Index Terms—Neuromorphic Computing, Mixed-Signal Design, Brain Code Unit, Fundamental Code Unit.
