We comment on ways in which Lake et al. advance our understanding of the machinery of intelligence and offer suggestions. The first set concerns animal-level versus human-level intelligence. The second concerns the urgent need to address ethical issu...
Lake et al. offer a timely critique on the recent accomplishments in artificial intelligence from the vantage point of human intelligence and provide insightful suggestions about research directions for building more human-like intelligence. Because ...
We propose that early in ontogeny, children's core cognitive abilities are shaped by culturally dependent "software updates." The role of sociocultural inputs in the development of children's learning is largely missing from Lake et al.'s discussion ...
The claims that learning systems must build causal models and provide explanations of their inferences are not new, and advocate a cognitive functionalism for artificial intelligence. This view conflates the relationships between implicit and explici...
In this commentary, we highlight a crucial challenge posed by the proposal of Lake et al. to introduce key elements of human cognition into deep neural networks and future artificial-intelligence systems: the need to design effective sophisticated ar...
Studies in health technology and informatics
Jan 1, 2017
In healthcare, applying deep learning models to electronic health records (EHRs) has drawn considerable attention. This sequential nature of EHR data make them wellmatched for the power of Recurrent Neural Network (RNN). In this poster, we propose "D...
Studies in health technology and informatics
Jan 1, 2017
In clinical practice, many patients may have unknown or missing values for some predictors, causing that the developed risk models cannot be directly applied on these patients. In this paper, we propose an incremental learning approach to apply a dev...
Studies in health technology and informatics
Jan 1, 2017
Computer-aided learning systems (e-learning systems) can help medical students gain more experience with diagnostic reasoning and decision making. Within this context, providing feedback that matches students' needs (i.e. personalised feedback) is bo...
Radiographics : a review publication of the Radiological Society of North America, Inc
Jan 1, 2017
Deep learning is a class of machine learning methods that are gaining success and attracting interest in many domains, including computer vision, speech recognition, natural language processing, and playing games. Deep learning methods produce a mapp...
Studies in health technology and informatics
Jan 1, 2017
The aim of the present study was to explore the potential of a ZORA-robot based intervention in rehabilitation and special education for children with (severe) physical disabilities from the professionals perspective. The qualitative results of this ...
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