BRN (ASX) 2022 BRN Discussion

Originally posted by rayz: ↑

https://www.frontiersin.org/articles/10.3389/fnins.2021.672161/full
Published: 14 May 2021.
Autonomous Flying With Neuromorphic Sensing

Patricia P. Parlevliet^1*, Andrey Kanaev², Chou P. Hung³, Andreas Schweiger⁴, Frederick D. Gregory^5,6, Ryad Benosman^7,8,9, Guido C. H. E. de Croon¹⁰, Yoram Gutfreund¹¹, Chung-Chuan Lo¹² and Cynthia F. Moss¹³

¹Central Research and Technology, Airbus, Munich, Germany
²U.S. Office of Naval Research Global, London, United Kingdom
³United States Army Research Laboratory, Aberdeen Proving Ground, Maryland, MD, United States
⁴Airbus Defence and Space GmbH, Manching, Germany
⁵U.S. Army Research Laboratory, London, United Kingdom
⁶Department of Bioengineering, Imperial College London, London, United Kingdom
⁷Institut de la Vision, INSERM UMRI S 968, Paris, France
⁸Biomedical Science Tower, University of Pittsburgh, Pittsburgh, PA, United States
⁹Robotics Institute, Carnegie Mellon University, Pittsburgh, PA, United States
¹⁰Micro Air Vehicle Laboratory, Department of Control and Operations, Faculty of Aerospace Engineering, Delft University of Technology, Delft, Netherlands
¹¹The Neuroethological lab, Department of Neurobiology, The Rappaport Institute for Biomedical Research, Technion – Israel Institute of Technology, Haifa, Israel
¹²Brain Research Center/Institute of Systems Neuroscience, National Tsing Hua University, Hsinchu, Taiwan
¹³Laboratory of Comparative Neural Systems and Behavior, Department of Psychological and Brain Sciences, Neuroscience and Mechanical Engineering, Johns Hopkins University, Baltimore, MD, United States
To explore the potential of neuromorphic engineering for aviation sensors, a virtual workshop on the topic of “Neuromorphic Sensing and Processing Paradigm” was organized by Airbus, U.S. Office of Naval research Global (ONRG) and the U.S. DEVCOM Army Research Laboratory (ARL) in July 2020.
Another neuromorphic approach to active sensing, includes the world’s first spiking neural network-based chip that was announced recently for radar signal processing. The first application was reported to encompass the creation of a low-power smart anti-collision radar system for drone collision avoidance; future plans are to process a variety of active sensor data including electrocardiogram, speech, sonar, radar and LIDAR streams (Liu, 2020). Reportedly, the chip consumes 100 times less power than traditional implementations and provides 10X reduction in latency.
In the reference section several times Tobi Delbruck
Vanarse, A., Osseiran, A., and Rassau, A. (2017). An Investigation into Spike-Based Neuromorphic Approaches for Artificial Olfactory Systems. Sensors 17:2591. doi: 10.3390/s17112591

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Great find it is a bit like at the end of the Second World War when the Allied Forces were actively avoiding the Italian Forces because they could not cope with the numbers who wanted to surrender.

Every time the 1,000 eyes look now someone finds new evidence supporting the trialling of or adoption of AKIDA Technology.

I suggest that the tipping point is upon us.

My opinion only DYOR
FF

AKIDA BALLISTA