High Efficiency Computer Memory Devices for Neuromorphic Computing
- 总结
- Researchers at Purdue University have developed a technology that includes a heavy metal/ferromagnetic heterostructure that employs spin-orbit torque to implement spike-timing-dependent plasticity (STDP) in order to create a reliable operation to online learning. The proposed technology offers the advantage of decoupled spike transmission and programming current paths. Subsequently, this technology decreases redundant power consumption and increases energy efficiency.
- 技术优势
- Decoupled spike transmission and programming current paths increases reliability of online learning Decreases redundant power consumption and increases energy efficiency
- 技术应用
- Neuromorphic engineering Supercomputers
- 详细技术说明
- Kaushik RoyNanoelectronics Research LaboratoryPurdue Electrical and Computer Engineering
- *Abstract
-
- *Background
- Large scale cortical brain simulations on present day super computers have proven highly inefficient with respect to the ultra-high density and energy efficient processing capability of the human brain. In order to harness the remarkable efficacy of the human brain in cognition and perception related tasks, the field of neuromorphic computing attempts to develop computing models inspired by the functionality of the basic building blocks of the human brain. However, nanoscale devices attaining the ultra-high density and low energy consumption of the biological have remained impossible to produce.
- *IP Issue Date
- None
- *IP Type
- Provisional
- *Stage of Development
- Proof of concept
- *Web Links
- Purdue Office of Technology CommercializationPurdueInnovation and EntrepreneurshipKaushik RoyNanoelectronics Research LaboratoryElectrical and Computer Engineering
- 国家
- United States
- 申请号码
- None
- 国家/地区
- 美国
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