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Energiezuinige AI: minder verbruik, zelfde prestaties
AI-modellen worden steeds krachtiger en ook steeds groter en energie-intensiever. Niet ideaal voor realtime toepassingen, gelukkig bestaan er technieken om modellen lichter, sneller en energie-efficiënter te maken, zonder veel accuraatheid te verliezen.
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Esli Heyvaert
Lecturer data engineering & infrastructure engineering
Passionate about data and infrastructure engineering, Esli is a dedicated lecturer and proud professional nerd. He thrives on staying at the forefront of technology, whether it's building robust data pipelines or optimizing infrastructure for scalability. Let's shape the future together, one line of code at a time.
Charlotte Larmuseau
Smart Tech Lab Manager
Charlotte is the coordinating manager of HITLAB, AI Lab and Energy Lab. Charlotte is responsible for networking with companies and organizations, monitoring and coordinating projects, and managing the different project teams. Charlotte obtained a master's degree in educational sciences (UGent), and a master-after-master in international business economics and policy (KU Leuven). She pursued a joint doctoral degree in pedagogical and computer sciences at KU Leuven and Université de Lille.
Lore Leenknegt
Researcher AI Lab
Specialized in computational modeling, Lore likes to apply her knowledge of mathematics, physics and AI to different areas like energy management, bio-sciences, and cyber security. After graduating as a Master in Biophysics, she continued to do a PhD in Applied Mathematics where the focus was on modeling cardiac electrograms. In addition, she likes to spread her enthusiasm for sciences and technology to the general audience.