In recent years, machine learning techniques have accelerated and innovated research in numerous fields, including neuroscience. By identifying patterns in experimental data, these models could for instance predict the neural processes associated with specific experiences or with the processing of sensory stimuli. Researchers at CNRS and Université Aix-Marseille and Maastricht University recently tried to use computational models to predict how the human brain transforms sounds into semantic representations of what is happening in the surrounding environment. Their paper, published in Nature Neuroscience, shows that some deep neural network (DNN)-based models might be better at predicting neural processes from neuroimaging and experimental data. "Our main interest is to make numerical predictions about how natural sounds are perceived and represented in the brain, and to use computational models to understand how we transform the heard acoustic signal into a semantic representation of the objects and events in the auditory environment," Bruno Giordano, one of the researchers who carried out the study, told Medical Xpress.

Artificial intelligence (AI) can be used to detect COVID-19 infection in people's voices by means of a mobile phone app, according to research to be presented on Monday at the European Respiratory Society International Congress in Barcelona, Spain. The AI model used in this research is more accurate than lateral flow/rapid antigen tests and is cheap, quick and easy to use, which means it can be used in low-income countries where PCR tests are expensive and/or difficult to distribute. Ms Wafaa Aljbawi, a researcher at the Institute of Data Science, Maastricht University, The Netherlands, told the congress that the AI model was accurate 89% of the time, whereas the accuracy of lateral flow tests varied widely depending on the brand. Also, lateral flow tests were considerably less accurate at detecting COVID infection in people who showed no symptoms. COVID-19 infection usually affects the upper respiratory track and vocal cords, leading to changes in a person's voice.

Join the audience for an AI in Medical Physics Week live webinar at 3 p.m. BST on 23 June 2022 based on IOP Publishing's special issue, Focus on Machine Learning Models in Medical Imaging Want to take part in this webinar? An overview will be given of the role of artificial intelligence (AI) in automatic delineation (contouring) of organs in preclinical cancer research models. It will be shown how AI can increase efficiency in preclinical research. Speaker: Frank Verhaegen is head of radiotherapy physics research at Maastro Clinic, and also professor at the University of Maastricht, both located in the Netherlands. He is also a co-founder of the company SmART Scientific Solutions BV, which develops research software for preclinical cancer research.

You will work on the development of new machine learning models for the decoding of motor and speech signals from brain activity. You will be part of the Dutch consortium'INTENSE' (intenseproject.eu The project focuses on the development of machine learning methods for decoding of motor events from neural activity with a long-term goal to apply the developed tools to the clinical setting, such as control of a robotic arm and/or the restoration of speech in patients with severe motor paralysis due to stroke, trauma or a neurodegenerative disease. To bring the decoding approaches closer to future clinical application, specific attention will be given to development of a real-time (online) decoding framework and focus on session-to-session neural variability, continual learning and model adaptation. During the project, you will develop machine learning models and apply them to human intracranial neural data (stereo-electroencephalography, sEEG) collected by our project collaborators at Maastricht University/MUMC and UMC Utrecht.

As a PhD candidate, you will primarily address the following four topics: (1) planning & scheduling (2) prescriptive quality (3) predictive maintenance and (4) hybrid intelligence. These PhD positions are part of the Green Transport Delta, a public-private innovation programme (funded by the Dutch Ministry of Economic Affairs and Climate) that aims to make Dutch transport sectors futureproof and sustainable. You will be embedded in the consortium around electrification, which focuses on improving various aspects of battery-powered electric transport as a key component of the transition to climate-neutral mobility. In a joint collaboration with VDL Nedcar, the largest Dutch automotive manufacturing company, you will work in a team to investigate AI techniques within VDL Nedcar's manufacturing environment. The ultimate goal is to make intelligent decisions in a transparent and reliable way, reduce costs, and save energy and reduce overall CO2 emissions.

In 1901, on an excavation trip to Crete, British archaeologist Arthur Evans unearthed items he believed belonged to a royal game dating back millennia: a board fashioned out of ivory, gold, silver, and rock crystals, and four conical pieces nearby, assumed to be the tokens. Playing it, however, stumped Evans, and many others after him who took a stab at it. There was no rulebook, no hints, and no other copies have ever been found. Games need instructions for players to follow. Without any, the Greek board's function remained unresolved--that is, until recently. Enter artificial intelligence, and a group of researchers from Maastricht University in the Netherlands.

An international research from several universities including Maastricht University (UM) has proposed a standardized registry for artificial intelligence (AI) work in biomedicine. Aim is to improve the reproducibility of results and create trust in the use of AI algorithms in biomedical research and, in the future, in everyday clinical practice. The scientists presented their proposal in the scientific journal "Nature Methods". In the last decades, new technologies have made it possible to develop a wide variety of systems that can generate huge amounts of biomedical data. At the same time, completely new possibilities have developed for examining and evaluating this data using artificial intelligence methods.

We are the Department of Data Science and Knowledge Engineering (DKE) at Maastricht University, the Netherlands: an international community of 50 researchers at various stages of their career, embedded in the Faculty of Science and Engineering (FSE). Our department has nearly 30 years' experience with research and teaching in the fields of Artificial Intelligence, Computer Science and Mathematics, and we do so in a highly collaborative and cross-disciplinary manner. To strengthen our team, we are looking for a full professor who will work on AI systems that interact intelligently – and in a human-centered and responsible way - with other AI systems, humans, or both. Our department is growing rapidly. This position is one of multiple job openings: you are more than welcome to browse through our other vacancies.

We are the Department of Data Science and Knowledge Engineering (DKE) at Maastricht University, the Netherlands: an international community of 50 researchers at various stages of their career, embedded in the Faculty of Science and Engineering (FSE). Our department has nearly 30 years' experience with research and teaching in the fields of Artificial Intelligence, Computer Science and Mathematics, and we do so in a highly collaborative and cross-disciplinary manner. To strengthen our team, we are looking for a full professor who will work on AI systems that are able to explain the decisions and actions they recommend or take in a human-understandable way. Our department is growing rapidly. This position is one of multiple job openings: you are more than welcome to browse through our other vacancies.

Founded in 1992, we are a fast-growing department undertaking internationally respected research in the areas of computer science, human-machine interaction, artificial intelligence and applied mathematics. Much of our research takes place at the interfaces of these disciplines. We maintain a large network of industry partners and provide education through one bachelor's programme and two master's programmes, all of which are nationally ranked #1 in their cohort according to the most recent education rankings. Situated in the heart of Europe and within 30 kilometers from the German and Belgian borders, Maastricht and its 120,000 inhabitants have a strong international character. It is a safe, vibrant city with a history spanning more than 2,000 years.