About Data Extraction
A major challenge of current (big) data systems lies in the provision of high-quality information suited for downstream analysis purposes, given that the data at hand are often irrelevant, redundant, noisy, inconsistent, incomplete or unstructured.
Imec research groups at UGent and KU Leuven are devising innovative cleansing, completion and feature extraction approaches to extract reliable information from raw data.
How can we help you?
Some examples of what we have done
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Integration Engineer BEOL
Leading projects related to BEOL integration for advanced nodes.
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Development of the electronics: from the system design to prototype and production phase
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Imec's Analog Design R&D Team combines innovative communication and sensing technologies that unleash the full potential of future smart cities, smart health and internet of things (IoT).
Student Project: Neuromorphic Event-based Restricted Boltzmann Machines in FPGA
Restricted Boltzmann Machines (RBMs) represent fundamental elements in Deep Belief Networks (DBNs). Student Project: Neuromorphic Event-based Restricted Boltzmann Machines in FPGAWhat you will do Scientific Relevance:Restricted Boltzmann Machines (RBMs) represent fundamental elements in Deep Bel…More job opportunities