Hi All
In this world of instant gratification, three year election cycles, overnight multi millionaires and genuine time is ticking personal lifetime clocks the time it seems to be taking for Brainchip to become an overnight success can be frustrating.
It can also be hard to maintain perspective when every message around us is seemly negative. Interest rates, immigration numbers, cost of living, unemployment signals, national security, claims of genocide and on and on it goes 24/7 never stopping to take a breath even on the Australia Day public holiday weekend.
The following extracts are followed by the link to the full paper which is an interesting read but the point I am about to make is served by just these extracts.
The point is very simple.
This paper was published in 2021.
The ambition was lofty perhaps Science Fiction, the authors are eminent and located at prestigious places of research and employment.
The resources at their disposal huge in comparison with an Aussie company called Brainchip.
Yet Brainchip with the release of AKD1000, AKD1500 and AKIDA 2.0 are five years ahead and have achieved everyone of this groups lofty Science Fiction goals plus much more on a ridiculously small budget in comparison.
On top of which they have built out an amazing network of commercial partnerships hand in hand with their scientific and engineering achievements within that same limited budget.
If one divorces oneself from all the negativity there is much to praise about what Brainchip has achieved.
My opinion only DYOR
Fact Finder
“Autonomous Flying With Neuromorphic Sensing
Patricia P. Parlevliet1*
Andrey Kanaev2
Chou P. Hung3
Andreas Schweiger4
Frederick D. Gregory5,6
Ryad Benosman7,8,9
Guido C. H. E. de Croon10
Yoram Gutfreund11
Chung-Chuan Lo12
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
Autonomous flight for large aircraft appears to be within our reach. However, launching autonomous systems for everyday missions still requires an immense interdisciplinary research effort supported by pointed policies and funding. We believe that concerted endeavors in the fields of neuroscience, mathematics, sensor physics, robotics, and computer science are needed to address remaining crucial scientific challenges. In this paper, we argue for a bio-inspired approach to solve autonomous flying challenges, outline the frontier of sensing, data processing, and flight control within a neuromorphic paradigm, and chart directions of research needed to achieve operational capabilities comparable to those we observe in nature. One central problem of neuromorphic computing is learning. In biological systems, learning is achieved by adaptive and relativistic information acquisition characterized by near-continuous information retrieval with variable rates and sparsity. This results in both energy and computational resource savings being an inspiration for autonomous systems. We consider pertinent features of insect, bat and bird flight behavior as examples to address various vital aspects of autonomous flight. Insects exhibit sophisticated flight dynamics with comparatively reduced complexity of the brain. They represent excellent objects for the study of navigation and flight control. Bats and birds enable more complex models of attention and point to the importance of active sensing for conducting more complex missions. The implementation of neuromorphic paradigms for autonomous flight will require fundamental changes in both traditional hardware and software. We provide recommendations for sensor hardware and processing algorithm development to enable energy efficient and computationally effective flight control………..”
“The long-term goal is hardware and software design and prototyping for interacting autonomous vehicles. Our
hardware and software design and prototyping for interacting autonomous vehicles. Our target is neuromorphic hardware that aims at mimicking the functions of neural cells in custom synthetic hardware that is analog, digital, and asynchronous in its nature of information processing and is vastly more energy-efficient and lighter than classical silicon circuitry.
It is expected that such a neuromorphic technology will disrupt existing solutions and be a key enabler for real-time processing of different sensor modalities by lower cost, lower energy consumption, lower weight, adaptable to changing missions, while providing enhanced and resilient performance and saving human lives.”
https://www.frontiersin.org/articles/10.3389/fnins.2021.672161/full
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