Ai University Berlin: A place for collaboration in AI with AI

The project attempts to address the types of spaces needed to guide the AI revolution constructively. Currently, an AI revolution is unfolding, as reported in newspapers, broadcasted on the news, and discussed on the radio. Socially, it’s a significant topic, as many users are unaware of what AI is and its functions. This underscores the...

Knowledge-based Approach for Mobile Manipulation with Active Inference

Achieving human-like action planning requires profound reasoning and context-awareness capabilities. It is especially true for autonomous robotic mobile manipulation in dynamic environments. In the case of component failure, the autonomous robotic system requires reliable adaptation capabilities combined with a consistent understanding of the...

Analysing the implementation of the combination of ESG data, Big Data and AI within a financial institution, an explorative case study

Over the last few years, regulations, changes in governance, and societal pressure have led to a push to rethink a firms’ approach to sustainability. This push created a need to place sustainability and numerous relevant technologies and approaches at the centre of the firms’ decision-making process. Within the financial industry, the...

A patient journey map to improve the home isolation experience of persons with mild COVID-19: Design research for service touchpoints of artificial intelligence in eHealth

Background: In the context of the COVID-19 outbreak, 80% of the persons who are infected have mild symptoms and are required to self-recover at home. They have a strong demand for remote health care that, despite the great potential of artificial intelligence (AI), is not met by the current services of eHealth. Understanding the real needs of...

The Giant Leap toward AIoT at Scale: Exploring the barriers to scaling Artificial Intelligence of Things

The powerful convergence of AI and the Internet of Things (IoT), or Artificial Intelligence of Things (AIoT) in short, is no longer on the horizon; it has already arrived. By combining AI’s ability to quickly wring insights from data and the ever-growing network of connected devices and systems that generate data, companies can avoid unplanned...

Photovoltaic Yield Nowcasting: For Residential Solar Systems in the Netherlands Using a Machine Learning Approach

An increasing number of photovoltaic (PV) systems are being installed worldwide and residential sector is responsible for a large part of this growth. Small scale PV systems do not have complex measuring devices and their breakdowns are not spotted immediately by the system owners. This might lead to prolonged time without generating power and...

Will Algorithms Blind People? The Effect of Explainable AI and Decision-Makers’ Experience on AI-supported Decision-Making in Government

Computational artificial intelligence (AI) algorithms are increasingly used to support decision making by governments. Yet algorithms often remain opaque to the decision makers and devoid of clear explanations for the decisions made. In this study, we used an experimental approach to compare decision making in three situations: humans making...

Data governance: Organizing data for trustworthy Artificial Intelligence

The rise of Big, Open and Linked Data (BOLD) enables Big Data Algorithmic Systems (BDAS) which are often based on machine learning, neural networks and other forms of Artificial Intelligence (AI). As such systems are increasingly requested to make decisions that are consequential to individuals, communities and society at large, their...

Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy

As far back as the industrial revolution, significant development in technical innovation has succeeded in transforming numerous manual tasks and processes that had been in existence for decades where humans had reached the limits of physical capacity. Artificial Intelligence (AI) offers this same transformative potential for the augmentation...

Multi-agent systems in StarCraft

The Interactive Intelligence section of the TU Delft would like to replace the game UT3 that is used in the Multi-Agent Systems project (MAS-project), which is a part of the bachelor curriculum of computer science. The game that has been selected for this purpose is StarCraft. StarCraft is called the `next challenge in AI development' by Google....