Using AI to Prioritize Static Analysis FindingsIntroducing static code analysis tools into the development process can be difficult, with an overwhelming number of standards, rules, and practices to navigate. This can make the adoption of static analysis challenging, as unoptimized configurations can …

De nieuwe EU regels voor het gebruik van AI toegelicht voor MKB.

Het ontwrichtende effect van de digitale transformatie is onmiskenbaar. Een belangrijke component van een digitale transformatie is de digitale strategie. Die moet helder maken wat een organisatie wil bereiken met data en technologie.

In my previous post on AI engineering I defined the concepts involved in this new discipline and explained that with the current state of the practice, AI engineers could also be named machine learning (ML) engineers. In this post I would like to 1) define our view on the profession of applied AI engineer …

Organizations operate in a socio-economic context, and alignment with this context is key for business success. The rate of change and impact of these changes on the operating model of the organization appears to be increasing. Major trends are the aftermath of the financial crisis of 2008, the “VUCA” …

This chapter discusses how to build production-ready machine learning systems. There are several challenges involved in accomplishing this, each with its specific solutions regarding practices and tool support. The chapter presents those solutions and introduces MLOps (machine learning operations, also …

The increasing interest and discussion on the topic of AI as well as the Netherlands’ high degree of digitalization incited research on the topic. The goal of this study is to evaluate the current applications and use of AI as well as identifying predictive factors in its lower-than-expected adoption. To …

Autonomously exploring and mapping is one of the open challenges of robotics and artificial intelligence. Especially when the environments are unknown, choosing the optimal navigation directive is not straightforward. In this paper, we propose a reinforcement learning framework for navigating, exploring, …

Autonomous robots require high degrees of cognitive and motoric intelligence to come into our everyday life. In non-structured environments and in the presence of uncertainties, such degrees of intelligence are not easy to obtain. Reinforcement learning algorithms have proven to be capable of solving …

Sufficient physical activity can prolong the ability of older adults to live independently. Community-based exercise programs can be enhanced by regularly performing exercises at home. To support such a home-based exercise program, a blended intervention was developed that combined the use of a tablet …