Energy-Efficient Tuning of Spintronic Neurons to Imitate the Non-linear Oscillatory Neural Networks of the Human Brain – SciTechDaily

The human brain efficiently executes highly sophisticated tasks, such as image and speech recognition, with an exceptionally lower energy budget than today’s computers can. The development of energy-efficient and tunable artificial neurons capable of emulating brain-inspired processes has, therefore, been a major research goal for decades.
Researchers at the University of Gothenburg and Tohoku University jointly reported on an important experimental advance in this direction, demonstrating a no…

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