machine learning
-
Artificial intelligence
Machine learning can improve accuracy but also increase workload
Research finds machine learning improved the accuracy of decision-making, but also resulted in extra cognitive effort being required by the…
-
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.
-
Because You Need to Know
Because You Need to Know – Beth Carey
Our computing future with Beth Carey.
-
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.
-
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.
-
Open access to scholarly knowledge
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.
-
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).
-
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.
-
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.
-
KM in sustainable 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…