Brain’s memory inspires neural networks to be less ‘forgetful’

Researchers say they have successfully addressed what they call a ‘major, long-standing obstacle to increasing AI capabilities’ by drawing inspiration from a human brain memory mechanism known as ‘replay’. Artificial intelligence (AI) experts at the University of Massachusetts (UMass) Amherst and the Baylor College of Medicine said they have developed a new method to protect – … Read more

Neural networks ‘disentangled’ for computer vision without the black box

Researchers from Duke University have trained a deep neural network to share its understanding of concepts, shedding light on how it processes visual information.  Deep neural networks are loosely modelled on real brains, with layers of interconnected “neurons” which respond to features in the input data. For image recognition, input data is processed by the … Read more