machine learning
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Introduction to knowledge graphs
Introduction to knowledge graphs (section 5.3): Inductive knowledge – Graph neural networks
Graph neural networks (GNNs) support end-to-end supervised learning for specific tasks.
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Because You Need to Know
Because You Need to Know – Beth Carey
Our computing future with Beth Carey.
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Introduction to knowledge graphs
Introduction to knowledge graphs (section 5.2): Inductive knowledge – Knowledge graph embeddings
How knowledge graphs can be encoded numerically for machine learning.
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Events
KM4Dev Knowledge Cafe 29: KM practitioners, where do we stand vis-à-vis AI and ML?
Online, 29 June 2023, 15.00-16.30 CEST.
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Open access to scholarly knowledge in the digital era
Open access to scholarly knowledge in the digital era (chapter 5.3): Reading scholarship digitally
Martin Paul Eve asks what it means to think of scholarship as data.
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Introduction to knowledge graphs
Introduction to knowledge graphs (part 1): Definitions and applications
Knowledge graphs are an important aspect of artificial intelligence (AI) in knowledge management (KM).
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KM in the building & construction industries
Using artificial intelligence to improve knowledge management in the construction industry
There are significant potential benefits from deploying AI technologies in KM in the construction industry.
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Brain power
Robo Brain and the knowledge commons
By having robots share what they’ve learned, it’s possible to increase the speed of data collection by orders of magnitude.
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KM in international development
Using AI to spot gaps in development aid
A multitude of projects and institutions make it difficult to form an accurate overview. Can AI gain a better understanding…
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Brain power
Health AI systems struggle to replicate test results in real life
When datasets used to train algorithms are used “off label” in unintended ways, biases can be introduced that compromise the…
