Tag: ERIC
Understanding neural networks with neural-symbolic integration
Dr Joe Townsend, Dr Theodoros Kasioumis, and Dr Hiroya Inakoshi, from the Artificial Intelligence Research Division at Fujitsu Research of Europe Ltd, used Neural-Symbolic Integration to better understand the reasoning of Artificial Intelligence (AI). They developed two solutions. The first solution – ERIC: Extracting Relations Inferred from Convolutions – opens the so-called ‘black box’ of AI and attempts to translate […]
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Regulating emotions in young adulthood
Young adults with complex mental health needs often find it difficult to regulate their emotions and manage impulsive behaviour. Dr Kate Hall and her collaborators from Deakin University, Australia, have developed and evaluated an intervention that has applicability across diagnostic categories of mental health and substance use needs, and can be delivered alongside existing treatments. This intervention teaches young people […]