We present a novel architecture for an AI system that allows a priori knowledge to combine with deep learning. In traditional neural networks, all available data is pooled at the input layer. Our alternative neural network is constructed so that partial representations (invariants) are learned in the …

Beschouwing van mogelijkheden en onmogelijkheden bij de inzet van simulaties om AI-modellen te trainen.

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.

Covid-19 made us realize that educational practices in higher education must change AND can change. A possible solution for practicing lab work is working in a remote lab: a real lab in which students and the equipment/instruments are physically apart. The concept of printed touchless electronics was …

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 …