Projects
IOF Accelerator: “Sustainable Material Technologies (SuMaT)”. Vrije Universiteit Brussel
General Chemistry, Chemistry, Physical Chemistry and Polymer Science, Architectural Engineering, Materials and Surface Science & Engineering, Electrochemical and Surface Engineering, Materials and Chemistry, Earth System Sciences
The SuMaT-accelerator will build a state of health (SoH) and remaining useful life (RUL) model for lithium-ion batteries (LiBs) based on electrochemical impedance spectroscopy (EIS) data making use of machine learning (ML)/artificial intelligence (AI) approaches . A key stumbling block to advance LiB technologies is the unpredictability of battery degradation: accurate prediction of SoH and RUL is needed to inform the user whether a battery ...
An evaluation corpus for automatic summarization. University of Antwerp
In this BOF project we aim to create an evaluation and development corpus for automatic summarization for Dutch. Automatically generated summaries can help to search and present large amounts of information. An important aspect in the development of automatic summarizers is the use of evaluation methods. We will construct an evaluation corpus consisting of 200 texts and minimally 5 different summaries per text.
GEAR: “Venturing into Future Health Technologies” Vrije Universiteit Brussel
Industrial Sciences and Technology, Thermodynamics and Fluid Mechanics Group, Digital Mathematics, Neuroprotection & Neuromodulation, Clinical sciences, Artificial Intelligence supported Modelling in clinical Sciences, Computational Modelling, Artificial Intelligence, Audio Visual Signal Processing, Engineering Technology, Laboratorium for Micro- and Photonelectronics, Electronics and Informatics
Venturing into future health technologies is the focused thematic of the Gear consortium Tech4Health comprises team members of two departments: departments of Electronics and Informatics (ETRO) and Industrial Engineering (INDI) of the faculty of Engineering Sciences. Multi-disciplinary technological evolution in this sector is key on a world-wide level: 1) to keep the cost impact of healthcare manageable in the “Western” world due to an ...
Intelligent analysis and data-mining of mass spectrometry-based proteome data. University of Antwerp
Mass spectrometry is a powerful analytical technique to elucidate the structure of molecules, like proteins. Until now a significant fraction of the data coming from MS analysis remains uninterpretable. This projects aims to apply state-of-the-art data mining techniques to a large set of mass spectra, aiming to find new relevant patterns that may point towards unknown structural modifications.
IOF GEAR: Artificial Intelligence from bench to bedside in neurology, neurosurgery and psychiatry Vrije Universiteit Brussel
Mental Health and Wellbeing research group, Neurology, Electronics and Informatics, Supporting clinical sciences, Surgical clinical sciences, Clinical sciences
Our unique research consortium is composed of excellent preclinical and clinical researchers, which guarantees
the chances of success of our neurotranslational research, with the aim of developing novel diagnostic and
therapeutic strategies for neurological, neurosurgical and mental disorders and better understand mechanisms of
cognition and behavior. Cognition is the central theme that unites all our preclinical and clinical ...
the chances of success of our neurotranslational research, with the aim of developing novel diagnostic and
therapeutic strategies for neurological, neurosurgical and mental disorders and better understand mechanisms of
cognition and behavior. Cognition is the central theme that unites all our preclinical and clinical ...
Elevating Multithreading Further into the Cloud KU Leuven
Due to the surging popularity of cloud computing on one hand and the emergence of numerous novel, innately parallel workloads on the other, executing multithreaded applications in a virtualized setting has become common practice in industry. However, multithreading is known to be highly susceptible to severe performance degradation in virtualized environments. In response, virtualization technologies have evolved rapidly over the years; to ...
Judging Judicial AI: Towards stronger safeguards for the rule of law in an artificially intelligent age KU Leuven
AI systems are increasingly deployed in the judicial system to facilitate a range of judicial activities (‘judicial AI’). While they can enhance efficiency, these systems also raise concerns, not only as regards their impact on individuals, but also as regards their impact on societal interests such as the rule of law. When not accompanied by adequate oversight and accountability mechanisms – especially if developed by private actors or by the ...
Exploring the ethical consequences of black-box medicine Ghent University
Autonomy, responsibility and the prospects of explainable AI
Artificial intelligence (AI) tools in medicine are increasingly opaque. This means that it becomes very hard U+2013 or simply impossible U+2013 to understand why an AI tool generated a certain outcome given the input it received. Moreover, the most promising techniques such as deep neural networks are the most opaque as well. This makes the ethical concerns related to ...
The Epistemic Puzzle of Perception. Conscious Experience, Higher-Order Beliefs, and Reliable Processes KU Leuven
This thesis mounts an attack against accounts of perceptual justification that attempt to analyze it in terms of evidential justifiers, and has defended the view that perceptual justification should ratherbe analyzed in terms of non-evidential justification. What matters mostto perceptual justification is not a specific sort of evidence, be it experiential evidence or factive evidence, what matters is that the perceptual process from sensory ...