Blog Artificial Intelligence
Comparing cloud AI services against open source libraries for face detection
The three large cloud companies Google, Microsoft and Amazon offer cloud services for many AI tasks. Using these services has practical benefits but also strategic risks: when using a service, you have less control over your AI use. In order to gain insight into the pros and cons of AI services, Elif Kalkan has done…
Sieuwert van OtterlooLegocolor: a computer vision dataset for learning datascience
The Legocolor dataset is a new dataset designed to test common data science techniques such as k-nearest neighbour and decision trees. The dataset consists of color samples (red, green and blue value) from real world images of Lego and the official lego color of the brick, and the goal is to train a model to…
Sieuwert van OtterlooA checklist for auditing AI systems
As the use of AI increases, the potential impact of using wrong AI system increases as well. It is therefore recommended and often required to audit AI systems. We have talked to several IT auditors and privacy experts to make a checklist on what should be considered when auditing an AI system.
Sieuwert van OtterlooAI, Machine Learning and neural networks explained
This summer, we were invited by the Utrecht University of Applied Sciences to explain artificial intelligence, machine learning and neural networks.In a one hour webinar, we used python to train an actual neural network, showed the audience what can go wrong and how to fix it, with time left for discussing the ethical implications of…
Sieuwert van OtterlooCoursera machine learning course
The Coursera Machine Learning course by Stanford University is a great advanced course on Artificial Intelligence. If you are interested in becoming an AI expert, you fortunately do not need to pursue a bachelor, master, or PhD in AI to learn what terms like Intelligent Agents, Machine Learning, and Neural Networks mean. In this article…
Joost Krapels