Difference between revisions of "Neuromorphic Computing"
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==Context== | ==Context== | ||
| − | + | *Inspiration**: It is based on the architecture of biological nervous systems. | |
| − | + | *Objective**: The goal is to create hardware that mimics these systems for improved computing efficiency. | |
| − | + | *Approach**: It involves using artificial neurons and synapses for computation. | |
| − | + | *Applications**: Neuromorphic computing has potential applications in AI, robotics, and complex data processing tasks. | |
| − | For a more detailed exploration, | + | For a more detailed exploration, see the 2022 Roadmap on Neuromorphic Computing and Engineering¹ and Carver Mead's account of the field's origins² particularly insightful. |
Source: Conversation with Bing, 4/20/2024 | Source: Conversation with Bing, 4/20/2024 | ||
| − | (1) 2022 Roadmap on Neuromorphic Computing and Engineering - arXiv.org. https://arxiv.org/pdf/2105.05956. | + | (1) 2022 Roadmap on Neuromorphic Computing and Engineering - arXiv.org. https://arxiv.org/pdf/2105.05956. |
| − | (2) How we created neuromorphic engineering - Nature. https://www.nature.com/articles/s41928-020-0448-2.pdf. | + | (2) How we created neuromorphic engineering - Nature. https://www.nature.com/articles/s41928-020-0448-2.pdf. |
| − | (3) Introducing ‘Neuromorphic Computing and Engineering’. https://www.research-collection.ethz.ch/bitstream/handle/20.500.11850/529319/2/Indiveri_2021_Neuromorph._Comput._Eng._1_010401.pdf. | + | (3) Introducing ‘Neuromorphic Computing and Engineering’. https://www.research-collection.ethz.ch/bitstream/handle/20.500.11850/529319/2/Indiveri_2021_Neuromorph._Comput._Eng._1_010401.pdf. |
| − | (4) Neuromorphic Engineering: Overview - Springer. https://link.springer.com/content/pdf/10.1007/978-1-4614-7320-6_765-1.pdf. | + | (4) Neuromorphic Engineering: Overview - Springer. https://link.springer.com/content/pdf/10.1007/978-1-4614-7320-6_765-1.pdf. |
==References== | ==References== | ||
Revision as of 15:45, 20 April 2024
Full Title or Meme
Neuromorphic Computing aims to design computing systems inspired by the structure and function of the human brain.
Context
- Inspiration**: It is based on the architecture of biological nervous systems.
- Objective**: The goal is to create hardware that mimics these systems for improved computing efficiency.
- Approach**: It involves using artificial neurons and synapses for computation.
- Applications**: Neuromorphic computing has potential applications in AI, robotics, and complex data processing tasks.
For a more detailed exploration, see the 2022 Roadmap on Neuromorphic Computing and Engineering¹ and Carver Mead's account of the field's origins² particularly insightful.
Source: Conversation with Bing, 4/20/2024
(1) 2022 Roadmap on Neuromorphic Computing and Engineering - arXiv.org. https://arxiv.org/pdf/2105.05956. (2) How we created neuromorphic engineering - Nature. https://www.nature.com/articles/s41928-020-0448-2.pdf. (3) Introducing ‘Neuromorphic Computing and Engineering’. https://www.research-collection.ethz.ch/bitstream/handle/20.500.11850/529319/2/Indiveri_2021_Neuromorph._Comput._Eng._1_010401.pdf. (4) Neuromorphic Engineering: Overview - Springer. https://link.springer.com/content/pdf/10.1007/978-1-4614-7320-6_765-1.pdf.
