Some (crucial) differences between neural network concepts and physical hardware and resulting consequences

Daniel Brunner

doi:10.1117/12.2679679

28 September 2023 Some (crucial) differences between neural network concepts and physical hardware and resulting consequences

Daniel Brunner

Author Affiliations +

Proceedings Volume PC12655, Emerging Topics in Artificial Intelligence (ETAI) 2023; PC126550I (2023) https://doi.org/10.1117/12.2679679
Event: SPIE Nanoscience + Engineering, 2023, San Diego, California, United States

Abstract

The beginning of Neural Networks (NNs) as a computing concept were fundamentally motivated by several basic observations taken from biological brains. These principles also founded the field of neuromorphic hardware. However, today concepts and hardware have strongly drifted apart, making it difficult to re-consolidate their original connection. The computational and economic success of NNs ultimately justified the liberation from very strongly bio-inspired approaches, which consequently shifted the focus towards physical computing. I will give an overview of the physical computing trend and will highlight the fundamental aspects, which, in my opinion, need to be considered in order to arrive at an efficient merger of computing algorithm and physical hardware.

Conference Presentation

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Daniel Brunner "Some (crucial) differences between neural network concepts and physical hardware and resulting consequences", Proc. SPIE PC12655, Emerging Topics in Artificial Intelligence (ETAI) 2023, PC126550I (28 September 2023); https://doi.org/10.1117/12.2679679

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