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A Hopfield neural network in magnetic films with natural learning

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In order to develop its ultimate potential, artificial intelligence must shift from the software-based towards hardware-based neuromorphic algorithms. For the artificial neural network, it requires materials and devices that are capable of emulating neuron-like activation and synapses with reprogrammable weights.

An adiabatic method to train Binary Neural Networks

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We proposed a new training method to realize binary neural networks. [1] This method can successfully train a conventional neural network into a binary one, where the neuron activations and/or weights take binary values of (+1 and -1). 

This work turned out to be compeletely in the field of Computer Science. …

© Jiang Xiao 2014