About Data Mining
To make sense of big heterogeneous data, imec research groups at UAntwerpen, UGent and KU Leuven devise innovative mathematical/signal representations, statistical models, (deep) machine learning architectures and semantic reasoning techniques to analyze distributed and non-distributed data in resource-limited and abundant-resources settings.
Hoe kunnen we u helpen?
Some examples of what we have done
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Reliability-physics based hardware primitives for tamper-free cryptographic applications
Apply reliability physics to develop hardware implementations for more lightweight security solutions as well as improved robustness against post-quantum cryptographic threats
AI-based prediction of agitation in dementia patients
Leveraging advanced wearable and remote health parameter sensor technologies with contextual sensing and the power of machine-learning to improve the care for and quality of life of patients with dementia.
Can AI Support Objective Assessment of Pain?
AI is becoming a promising tool for modern precision medicine, supporting and in some cases outperforming traditional medical practice.
Neural network based approach to design complex PV systems
to develop and implement data-driven approaches for modelling and optimizing the long-term outdoor performance of complex PV systemsMeer jobs bekijken