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 profiles from data-driven profiling applications are a model of the reality. The interpretability of these profiles for end users, e.g. policymakers, is often far from trivial. How and why these models are obtained by the applications are often regarded as a black box. In recent years several profiling …

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 …

The research focuses on creating a possible technique which would allow a 2D character to interact with the 3D light while preserving the 2D aspect of it. I researched on EbSynth (style-transferring tool) and Blender as possible software which could help me create the new lighting approach. Normal maps …

Purpose: Artificial intelligence (AI) and automation are currently changing human life with a great implication in the communication field. This research focusses on understanding the current and growing impact of AI and automation in the role of communication professionals to identify what skills and …

The past two years I have conducted an extensive literature and tool review to answer the question: “What should software engineers learn about building production-ready machine learning systems?”. During my research I noted that because the discipline of building production-ready machine learning systems …

Zeven ethische aspecten afkomstig uit de 'Assessment List for Trustworthy AI' toegelicht voor het MKB.

We won 't get a healthier planet with lifestyle programmes and new technologies if we don 't understand the psychological mechanisms behind overconsumption. Today there is food and Netflix, tomorrow is uncertain. Politicians let companies invest in smart technology, smart houses, robotics, AI, so that …

The assignment was to find and implement a new ML solution at Agrovisiobn.