Spin Orbit Torque Based Electronic Neuron
- Summary
- Researchers at Purdue University have developed a device based on current-induced spin-orbit torques that function as the thresholding unit of an electronic neuron. This technology includes a two-step switching scheme:
- Technology Benefits
- Increases the efficiency of artificial neural networks Decreases power consumption of ANNs by up to three times
- Technology Application
- Artificial neural networks Neuromorphic engineering
- Detailed Technology Description
- Kaushik RoyNanoelectronics Research LaboratoryPurdue Electrical and Computer Engineering
- Countries
- United States
- Application No.
- None
- *Abstract
-
- *Background
- Artificial neural networks (ANNs) attempt to replicate the remarkable efficiency of the biological brain for performing cognitive tasks, such as learning, pattern recognition and classification. The two main computational units of the artificial neuron are weighted summation of inputs followed by a threshold. The implementation of large scale ANNs on general purpose computers requires significant computational capability and consumes energy that is orders of magnitude larger than a biological brain. These inefficiencies are due to the significant mismatch between the functionality of a biological neuron and the CMOS devices, which are better suited for Boolean logic.
- *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
- Country/Region
- USA
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