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28 September 2023 Spintronics-based neuromorphic computing or how to do more with less!
Flavio Abreu Araujo, Simon de Wergifosse, Chloé Chopin, Anatole Moureaux
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Proceedings Volume PC12656, Spintronics XVI; PC126560K (2023) https://doi.org/10.1117/12.2676008
Event: SPIE Nanoscience + Engineering, 2023, San Diego, California, United States
Abstract
Over the past decades, artificial intelligence (AI) has made significant technological advances with the prospect of increased computer capabilities (e.g., automation in decision making and data processing) and acquired an increasingly important role in our everyday technological environment (Dall-E, ChatGPT, etc.). The main issue is that the digital silicon-based computing technologies are very energy-intensive while solving cognitive tasks such as speech or image recognition. We propose to tackle this issue by combining condensed matter physics (spintronics) and artificial intelligence to design nanoscale neuromorphic computing hardware to solve machine learning tasks.
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Flavio Abreu Araujo, Simon de Wergifosse, Chloé Chopin, and Anatole Moureaux "Spintronics-based neuromorphic computing or how to do more with less!", Proc. SPIE PC12656, Spintronics XVI, PC126560K (28 September 2023); https://doi.org/10.1117/12.2676008
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KEYWORDS
Artificial intelligence
Computer hardware
Magnetism
Oscillators
Neural networks
Polarizers
Reservoir computing
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