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With ICON (Interdisciplinary Cooperative Research) projects, imec, Flanders Make and VLAIO &nbsp;want to bridge the gap between research results of the strategic research centers and their practical applicability within the Flemish business community.
VLAIO recently <a href="https://www.vlaio.be/nl/nieuws/meer-dan-6-miljoen-euro-vlaio-innovatiesteun-voor-5-imec-en-3-flanders-make-icon-projecten" target="_blank" rel="noopener">approved eight of these projects</a> (site in Dutch), of which five relate to research of the Flanders AI Research Program.

The BOCEMON-project research how information on an office building (sensor information or user feedback) can be used to improve both user comfort and energy efficiency of the building. &nbsp;The AI methods make use of Reinforcement Learning. Reference: <a href="/en/research/research-challenges/human-like-ai" data-entry-id="61" target="_blank" rel="noopener" data-entry-id="61">Grand Challenge 4</a>, WP4, research groupIDLab UAntwerpen/imec.
The MultipLICITY-project will use AI-based real-time algorithms and highspeed cameras to control the 3D printing process. &nbsp;The goal is to improve the quality of the 3D printed products, reduce waste and save energy.&nbsp; Reference: Edge AI, <a href="/en/research/research-challenges/edge-ai" data-entry-id="59" target="_blank" rel="noopener" data-entry-id="59">Grand Challenge 2 ,</a> research groups UGent-IPI/imec, UAntwerpen-VisionLab/imec, Flanders Make.
The OptiROutS project will use AI-based algorithms for optimal routing, taking into account also social aspects such as the societal cost of cut-through traffic.&nbsp;It will use Hybrid AI methods that combine simulation models with graph-based methods (GCN, spatio-temporal graph-based convolutional networks).&nbsp; Reference: <a href="/en/research/research-challenges/human-like-ai" data-entry-id="61" target="_blank" rel="noopener" data-entry-id="61">&nbsp;Grand Challenge 4</a>, WP4;&nbsp; research groupIDLab UAntwerpen/imec.
The FARAD2SORT project wil use AI to facilitate the automatisation of quality inspection and the use of robots: &nbsp;facilitate the annotation of the data, the automatic retraining and speed optimalisation.&nbsp;This Flanders Make ICON project builds upon research for the automation of the AI flow and on edge/cloud deployment. Reference: <a href="/en/research/research-challenges/ai-driven-data-science" data-entry-id="58" target="_blank" rel="noopener" data-entry-id="58">Grand Challenge 1</a> ,&nbsp;<a href="/en/research/research-challenges/edge-ai" data-entry-id="59" target="_blank" rel="noopener" data-entry-id="59">Grand Challenge 2</a>,&nbsp; research groups UHasselt EDM, UGent / imec IPI.
The project TUPIC will use AI-methods such as Reinforcement Learning to facilitate the use of control algorithms in complex industrial processes. &nbsp;The project will use &ldquo;physics-based learning&rdquo; methods . Reference: <a href="/en/research/research-challenges/ai-driven-data-science" data-entry-id="58" target="_blank" rel="noopener" data-entry-id="58">Grand Challenge 1</a>, WP 4, research group UGent EEDT-DC.

New publicly funded ICON projects related to the research of the Flanders AI Research Program