The following research does not reference AKIDA but comes to an interesting conclusion which I have extracted:
ORIGINAL RESEARCH article
Front. Neurosci., 01 April 2022 |
https://doi.org/10.3389/fnins.2022.851774
Automotive Radar Processing With Spiking Neural Networks: Concepts and Challenges
Bernhard Vogginger1*,
Felix Kreutz1,2,
Javier López-Randulfe3,
Chen Liu1,
Robin Dietrich3,
Hector A. Gonzalez1,
Daniel Scholz1,2,
Nico Reeb3,
Daniel Auge3,4,
Julian Hille3,4,
Muhammad Arsalan4,
Florian Mirus5,
Cyprian Grassmann4,
Alois Knoll3 and
Christian Mayr1,6
- 1Chair of Highly-Parallel VLSI-Systems and Neuro-Microelectronics, Faculty of Electrical and Computer Engineering, Institute of Principles of Electrical and Electronic Engineering, Technische Universität Dresden, Dresden, Germany
- 2Infineon Technologies Dresden GmbH & Co., KG, Dresden, Germany
- 3Department of Informatics, Technical University of Munich, Munich, Germany
- 4Infineon Technologies AG, Munich, Germany
- 5BMW Group, Research, New Technologies, Garching, Germany
- 6Centre for Tactile Internet (CeTI) With Human-In-The-Loop, Cluster of Excellence, Technische Universität Dresden, Dresden, Germany
“When it comes to AI-based autonomous driving, ensuring functional safety of both software and hardware is a critical issue. The principles that are currently developed to support machine learning models (
Henriksson et al., 2018;
Mohseni et al., 2019) will also apply to SNNs. Similarly, neuromorphic hardware will have to fulfill the same standards as any automotive electronic system: adhere to temperature ranges, be resistant to vibrations, be deterministic and redundant, or contain self-monitoring. For that reason,
only digital neuromorphic systems are candidates for integration in cars,
while the use of analog or mixed-signal neuromorphic hardware seems out of scope at the moment due to their intrinsic variability.
Hence, we suggest to focus on advanced digital systems such as SpiNNaker2 (
Yan et al., 2021) or Loihi2 (
Orchard et al., 2021) to further explore neuromorphic hardware for automotive radar processing and automated driving in general.”
Their opinion places AKIDA digital SCNN with LSTM at the very head of the queue.
My opinion only DYOR
FF
AKIDA BALLISTA