14–17 Oct 2019
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Principal Researcher, Grakn
James Fletcher is a principal researcher with Grakn, investigating approaches to advance cognition and leveraging machine learning, automated reasoning, and a knowledge base.
16:50–17:30 Wednesday, 16 October 2019
Location: Buckingham Room - Palace Suite
Secondary topics: Health and Medicine, Machine Learning, Machine Learning tools
James Fletcher (Grakn)
(3.50, 2 ratings)
Statistical approaches alone are not sufficient to tackle the complexity of AI challenges today. Being smarter with the data we already have is critical to achieving machine understanding of any complex domain. James Fletcher explains how knowledge graph convolutional networks (KGCNs) demonstrate the usefulness of combining a connectionist deep learning approach with a symbolic approach. Read more.
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