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- Type of Document: M.Sc. Thesis
- Language: Farsi
- Document No: 56189 (19)
- University: Sharif University of Technology
- Department: Computer Engineering
- Advisor(s): Koohi, Somayyeh
- Abstract:
- Due to the increasing volume of data in various fields, existing electronic processors face a major challenge. While processing power has increased, solving complex problems in a timely manner remains a major challenge for today's processors. Neuromorphic engineering offers a potential solution by looking to processors found in nature, such as the human brain. This field of research involves investigating natural processors and designing new ones based on these models. To address issues related to manufacturing and integrating transistors, increasing processor costs, and the limitations of Moore's law, it is possible to use analog signals, such as sound or light, instead of electrical signals. The advantages of using light and building optical processors include high processing speed, reduced heat losses, and the ability to process large volumes of data if implemented in open space. As a result, one of the main approaches in neuromorphic engineering is to build optical processors inspired by the human brain. Spiking neural networks, one of the most famous mathematical models that accurately models the functioning of the human brain, can be challenging to implement on electronic hardware due to the high volume of processing and long setup times. However, implementing these networks optically and in free space can be an important step in developing new processors. The main goal of this project is to implement spiking neural networks optically and in free space
- Keywords:
- Optical Computing ; Spiking Neural Network ; Optical Neural Networks ; Free Space Optical System ; Neuromorphic Enginnering
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