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NeuroMag aims to create a novel matrix-vector multiplier using spin waves for artificial neural networks. By employing magnetoelectric materials, the project seeks to enhance energy efficiency and performance in machine learning applications, paving the way for innovative computing technologies.
Machine learning applications based on artificial neural networks have undergone rapid progress in recent years.
To improve the power efficiency over current hardware, alternative implementations of a critical part of artificial neural networks, the matrix-vector multiplier performing large-scale linear transformations, have been intensively researched.
Recently, a matrix-vector multiplier based on the interference of optical waves has been proposed in combination with local adjustable electro-o…
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