The Socially Intelligent Artificial Systems (SIAS) group is part of the Informatics Institute at the University of Amsterdam. The group focuses on civic-centred and community-minded artificial intelligence (AI) that aims to reduce inequality and promote equal opportunity in society. SIAS arose out of the concern that AI is increasing inequality in society. If researchers do not intervene, there is a great risk that the gap between the poor and the rich and general inequality will increase. The predominant questions the group tries to answer are: How can we use AI, and in particular learning systems, to advance society?
The Association for the Advancement of Artificial Intelligence's 2021 Spring Symposium Series was held virtually from March 22-24, 2021. There were ten symposia in the program: Applied AI in Healthcare: Safety, Community, and the Environment, Artificial Intelligence for K-12 Education, Artificial Intelligence for Synthetic Biology, Challenges and Opportunities for Multi-Agent Reinforcement Learning, Combining Machine Learning and Knowledge Engineering, Combining Machine Learning with Physical Sciences, Implementing AI Ethics, Leveraging Systems Engineering to Realize Synergistic AI/Machine-Learning Capabilities, Machine Learning for Mobile Robot Navigation in the Wild, and Survival Prediction: Algorithms, Challenges and Applications. This report contains summaries of all the symposia. The two-day international virtual symposium included invited speakers, presenters of research papers, and breakout discussions from attendees around the world. Registrants were from different countries/cities including the US, Canada, Melbourne, Paris, Berlin, Lisbon, Beijing, Central America, Amsterdam, and Switzerland. We had active discussions about solving health-related, real-world issues in various emerging, ongoing, and underrepresented areas using innovative technologies including Artificial Intelligence and Robotics. We primarily focused on AI-assisted and robot-assisted healthcare, with specific focus on areas of improving safety, the community, and the environment through the latest technological advances in our respective fields. The day was kicked off by Raj Puri, Physician and Director of Strategic Health Initiatives & Innovation at Stanford University spoke about a novel, automated sentinel surveillance system his team built mitigating COVID and its integration into their public-facing dashboard of clinical data and metrics. Selected paper presentations during both days were wide ranging including talks from Oliver Bendel, a Professor from Switzerland and his Swiss colleague, Alina Gasser discussing co-robots in care and support, providing the latest information on technologies relating to human-robot interaction and communication. Yizheng Zhao, Associate Professor at Nanjing University and her colleagues from China discussed views of ontologies with applications to logical difference computation in the healthcare sector. Pooria Ghadiri from McGill University, Montreal, Canada discussed his research relating to AI enhancements in health-care delivery for adolescents with mental health problems in the primary care setting.
The department of paediatric cardiology at the Beatrix Children's Hospital, University Medical Centre Groningen (UMCG), one of the 4 licensed centres for the treatment of congenital heart diseases in The Netherlands, is an international centre of expertise on pulmonary hypertension and right heart failure in children. The department is the national referral centre for children with pulmonary (arterial) hypertension. All Dutch children suspected to have pulmonary hypertension are referred to our centre for confirmation of diagnosis, initiation of therapy and standardized follow-up visits, in close collaboration with our network centres. Our department conducts leading clinical, fundamental, and translational research in the field of pulmonary hypertension and congenital heart disease, such as tetralogy of Fallot, Fontan circulation and right heart failure. Our clinical research focuses on the improvement of diagnostic and imaging techniques, treatment strategies and survival of these patient groups.
The authors of this blog are Stan Zwinkels & Ted de Vries Lentsch. This blog aims to present our attempt to create a detection algorithm for detecting ripe flowers of the Alstroemeria genus Morado. Throughout this blog, we explain our process to create a dataset and detection model that achieves an F1 score of more than 0.75. This blog is part of the course Seminar Computer Vision By Deep Learning (CS4245) 2021 from the Delft University of Technology. Creating the dataset has been carried out in collaboration with the company Hoogenboom Alstroemeria.
Normally, students and scientists walk here, but today a drone is flying through a corridor on TU Delft Campus. Seemingly effortlessly, it whizzes past and between a variety of obstacles: rubbish bins, stacked boxes and poles. But then suddenly a person appears, walking straight towards the drone in the same space. This is not a stationery object but an actual moving person. 'This is much more difficult for the drone to process.
Today we're all acquainted with the concept of self-driving vehicles. Self-driving cars are the next future we are waiting to use extensively, and the tools needed to make them are being continuously innovated by some of Silicon Valley's greatest tech firms. The development and testing of self-driving vehicles have seen significant improvement lately. In any case, engineers are working towards different sorts of self-ruling vehicles as well – including some that run on water. We are talking about self-driving boats. Scientists at the Massachusetts Institute of Technology, MIT, are working on one such project.
Virginia Dignum is a Professor in the Dept. of Computing Science of Umeå University, where she leads the Social and Ethical Artificial Intelligence research group. Prior to that she was an Associate Professor in the Faculty of Technology, Policy and Management of Delft University of Technology. She received a PhD in 2004 from Utrecht University, before that she worked for 12 years in consultancy and system development in the areas of expert systems and knowledge management. Her research focuses on the complex interconnections and interdependencies between people, organizations, and technology. Prof. Dignum is actively involved in international initiatives on policy and strategy guidelines for AI research and applications, she is a member of the European Commission High-Level Expert Group on Artificial Intelligence, the IEEE Global Initiative on Ethics of Autonomous and Intelligent Systems, the TU Delft Design for Values Institute, the European forum AI4People, the Responsible Robotics Foundation, the Dutch AI Alliance on AI (ALLAI-NL), and the ADA-AI Foundation.
From a ship that has been designed to tell you what maintenance it needs and when, to an intelligent journey planner for global goods transport. The three universities in Zuid-Holland are abuzz with AI research in the field of ports and maritime. "The big challenges facing ports are accessibility, sustainability and finding the right employees," says Rudy Negenborn, Professor of Multi-Machine Operations & Logistics in Delft. "In a busy port, you have to optimise your planning to avoid delays, congestion and unnecessary emissions. This doesn't just require solutions to technical challenges: a solution can only be implemented if an organisation wants and has the right infrastructure for this."
AMSTERDAM: Electric cars, meet your competition. Electric boats are on the way. Amsterdam didn't have to look very far when searching for a way to ease traffic on its congested streets. The Dutch capital's canals were used for transport long before cars and trucks powered by polluting internal combustion engines began clogging its narrow roads. Already steeped in maritime history, the city's more than 100 kilometres (60 miles) of waterways are to start hosting prototypes of futuristic boats - small, fully-autonomous electric vessels - to carry out tasks including transporting passengers and picking up garbage.
Lung cancer is one of the most common cancers worldwide. According to a study published in Nature called "Deep learning predicts cardiovascular disease risks from lung cancer screening low dose computed tomography", researchers got to know that with the help of AI (artificial intelligence), lung cancer and cardiovascular health can be screened through the usage of low-dose computed tomography. This can help to reduce the risk of developing lung and cardiovascular diseases. The study was a result of a combined effort by Rensselaer Polytechnic Institute and Massachusetts General Hospital. Dr Colin Jacobs, Ph.D. assistant professor in the Department of Medical Imaging at Radboud University Medical Center in Nijmegen said "As it does not require manual interpretation of nodule imaging characteristics, the proposed algorithm may reduce the substantial interobserver variability in CT interpretation," .