The AI-Power project aims to consolidate the Danish industry and university competitive edge in the energy sector by addressing the challenges in applying Artificial Intelligence (AI) for next-generation cognitive power electronics systems. Denmark stands in a leading position in the green energy transition, in which power electronics, as one of the critical technologies, have played a significant role. The evolving electrical energy systems require new principles and operational practices. It, in turn, means we must develop and implement new and updated system tools. This project will address three significant challenges in applying AI for power electronics industry applications: 1) how to obtain and understand the most relevant database? 2) how to develop computational-efficient and affordable AI solutions? 3) how to quantify the uncertainty and interpret the results from AI? The project will develop tailored physics-informed AI tools for the design, operation, and maintenance of power electronic systems.
Artificial Intelligence in General Practice
AI-POWER: PHYSICS-INFORMED ARTIFICIAL INTELLIGENCE FOR NEXT-GENERATION POWER ELECTRONICS
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AI IN THE DESIGN AND USE OF LEARNING PLATFORMS
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MARINE ANALYTICS USING COMPUTER VISION
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Intelligent Traffic Control
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DONUT: Distributed ONline monitoring of the Urban waTer cycle
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Learning Human Behavior to Teach Robots with Deep Reinforcement Learning and Imitation Learning
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Low-Resource Keyword Spotting for Hearing Assistive Devices
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ASIR – Automated Sewer Inspection Robot
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Artificial-Intelligence-in-General-Practice
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AI-POWER: PHYSICS-INFORMED ARTIFICIAL INTELLIGENCE FOR NEXT-GENERATION POWER ELECTRONICS
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AI & Etichs
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Cancer Diagnosis
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Understanding Social Relations via Machine Learning
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AI Improves Virtual Tests
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Reinforcement Learning Based Control for Underfloor Heating