Neuromorphic Computing

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.