James Fletcher
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.

Sessions

16:50–17:30 Wednesday, 16 October 2019

Location: Buckingham Room - Palace Suite

Why biotech needs knowledge graph convolutional networks for discovery

Implementing AI

Secondary topics: Health and Medicine, Machine Learning, Machine Learning tools

James Fletcher (Grakn)

Average rating:

(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.