Riou, Mathieu (2015) Brain-inspired computing using the transient dynamics of spin torque nano-oscillators PFE - Project Graduation, ?? - ??.
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Abstract
For many tasks, such as visual recognition or chaotic series prediction, the brain functions in a much faster and a much more efficient way than any classical computers. Reservoir computing is a recently introduced computing paradigm which is inspired from the way brain processes information. This new paradigm was already implemented in optic and optronic and has demonstrated its efficiency dealing with tasks that are difficult for classical computers. Spin torque nano-‐oscillators are a new class of spintronic devices that appeared in the 2000’s. They are strongly non-‐linear, have nanometric size and they are compatible with CMOS technologies. Because of these properties, these oscillators are excellent candidates as building bricks for a spintronic reservoir computing implementation, which would be compatible with classical computers. The goal of this project is the new implementation of a spintronic reservoir computing device.
Item Type: | Thesis (PFE - Project Graduation) |
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Uncontrolled Keywords: | Brain-‐inspired computing, Spintronic, Reservoir computing, Spin torque oscillator, Experimental |
Subjects: | Physics, Optics |
ID Code: | 6660 |
Deposited By: | Mathieu RIOU |
Deposited On: | 24 mai 2016 15:59 |
Dernière modification: | 24 mai 2016 15:59 |
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