Practical AI Intelligent systems and knowledge graphs
Nov 18, 2019
James Fletcher, Principal Scientist at Grakn Labs and an expert in machine intelligence, dives into the fascinating world of knowledge graphs. He clarifies how knowledge graphs differ from traditional databases and provides practical tips on building your own. The conversation also explores the synergy between AI and knowledge graphs, including enhancing tasks like computer vision. James discusses advanced techniques, such as graph neural networks, and showcases their potential in fields like drug discovery, emphasizing the future of intelligent systems.
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Automated Veterinary Diagnostics
- James Fletcher's initial foray into machine vision involved automating veterinary diagnostics.
- This family business aimed to control parasite burdens in animals, impacting both animal and human health.
Choosing AI Projects
- Start with an area you are passionate about or have connections in.
- Motivation is key for exceeding in machine learning.
Knowledge Graphs vs. Databases
- A knowledge graph is essentially a knowledge base structured as a graph, aiming to store knowledge, not just data.
- It helps in transitioning from data-filled graphs to knowledge-filled graphs.