IBM has demonstrated how implementing the key components of a neural network in software can significantly increase the energy efficiency and training speed of machine learning , while making it easier to use on small devices such as tablets . Currently , AI neural networks tend to be implemented in software that runs on conventional computer chips . IBM 's biologically inspired new artificial synapses make the neural network several times more energy efficient , paving the way for much quicker machine learning in the future .
IBM has demonstrated how building the key features of a neural network in silicon can significantly increase the energy efficiency and training speed of machine learning, while making it easier to use on small devices such as smartphones. Currently, AI neural networks tend to be modelled in software that runs on conventional computer chips. IBM's biologically inspired new artificial synapses make the neural network 100 times more energy efficient, paving the way for much quicker machine learning in the future.