Guest Editorial: Advances in AI-assisted radar sensing applications

The Dodecahedron and the Basket of Fruit: Architecture in the Age of Artificial Intelligence

Starting from the late 1980s, the advent of digital design—the possibility to ideate, develop, and generate projects via computers—has progressively pushed the disciplinary discourse to rethink architecture’s role in society, as well as its formal manifestations. The contemporary evolution of digital architecture has taken different directions,...

Toward automatic generation of control structures for process flow diagrams with large language models

Developing Piping and Instrumentation Diagrams (P&IDs) is a crucial step during process development. We propose a data-driven method for the prediction of control structures. Our methodology is inspired by end-to-end transformer-based human language translation models. We cast the control structure prediction as a translation task where...

Digital Thread Roadmap for Manufacturing and Health Monitoring the Life Cycle of Composite Aerospace Components

This paper provides a detailed review of a digital thread for composite aerospace components. The current state of the digital thread continues to progress and at an ever-accelerating rate due to advancements in supporting technologies such as AI, data capture/processing/storage, sensors, simulation, and blockchain. While the individual steps...

Coevolution of machine learning and process-based modelling to revolutionize Earth and environmental sciences: A perspective

Machine learning (ML) applications in Earth and environmental sciences (EES) have gained incredible momentum in recent years. However, these ML applications have largely evolved in ‘isolation’ from the mechanistic, process-based modelling (PBM) paradigms, which have historically been the cornerstone of scientific discovery and policy support....

Flowsheet generation through hierarchical reinforcement learning and graph neural networks

Process synthesis experiences a disruptive transformation accelerated by artificial intelligence. We propose a reinforcement learning algorithm for chemical process design based on a state-of-the-art actor-critic logic. Our proposed algorithm represents chemical processes as graphs and uses graph convolutional neural networks to learn from...

Designing Depression Screening Chatbots

Advances in voice recognition, natural language processing, and artificial intelligence have led to the increasing availability and use of conversational agents (chatbots) in different settings. Chatbots are systems that mimic human dialogue interaction through text or voice. This paper describes a series of design considerations for...

Social Signals and Multimedia: Past, Present, Future

The rising popularity of Artificial Intelligence (AI) has brought considerable public interest as well faster and more direct transfer of research ideas into practice. One of the aspects of AI that still trails behind considerably is the role of machines in interpreting, enhancing, modeling, generating, and influencing social behavior. Such...

Automatic Lipreading in the Dutch Language

This thesis deals with many aspects of the bimodal speech processing research. It lays out the general framework of visually enhanced speech processing computer systems together with some insight in the human speech bimodal speech perception. There are three main contributions to the field of bimodal speech processing presented in the thesis....

Application of distributed artificial intelligence in complex modular critical applications

This report provides an overview of the emerging technology Distributed Artificial Intelligence, in particular in the area of Distributed Problem Solving (DPS). DPS refers to coarse-grained (task-level) problem decomposition resulting in a number of expert or knowledge-based systems, generally called agents of which each exhibits some...

Computing with cables: Towards massively parallel neuro computers