Generative AI – accelerating research, modernising education and creating societal impact

Generative AI (GenAI), machine learning (ML) and artificial intelligence (AI) are rapidly becoming foundational technologies within electrical and computer engineering. They are no longer merely general-purpose digital tools but an integral part of modern engineering, creating new opportunities for research, design, simulation, verification and innovation.

At the Department of Electrical and Computer Engineering, we work with the application and further development of GenAI, ML and AI for specialised engineering tasks. These technologies support data-driven research, automated design, simulation, decision support and the development of intelligent systems. At the same time, we conduct research into how generative AI can be adapted to complex engineering disciplines and applied on a rigorous scientific foundation.

Through collaboration with industry, public-sector organisations and other research environments, we translate new knowledge into solutions that accelerate innovation and advance the development of next-generation digital technologies. At the same time, we are committed to the responsible use of AI, including robustness, verification, intellectual property protection and sustainability, ensuring that these technologies can be deployed safely and create value for both society and industry.

Simple bearing monitoring could save industry major environmental costs

A new research and innovation project will develop sensors capable of real-time monitoring of lubrication conditions in bearings. The goal is to reduce pollution and resource waste while paving the way for sustainable lubricants.

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Intelligent insect counter opens new opportunities for nature monitoring

Engineers and biologists from Aarhus University have developed an intelligent light trap that can count insects and determine their species as they fly past. This could significantly boost nature monitoring.

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Collaboration reduces energy consumption by a factor of 10 using artificial intelligence

A research project used artificial intelligence to help the SME C.C. Jensen to reduce energy consumption on drying oil filters by a factor of 10, and to reduce production time significantly.

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€24M for next-gen chip technology: AU to develop energy-efficient AI hardware

A new Horizon Europe project will demonstrate how spintronics can pave the way for the next generation of European chips. AU will play a central role in developing energy-efficient hardware for artificial intelligence and cybersecurity, helping reduce energy consumption significantly while strengthening Europe's technological independence.

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Drones in a race to find the earth's hidden resources

Two drones in pairs will analyze the subsurface from the air and contribute to solving key societal challenges such as pollution, raw material shortages and water management. This is the goal of a new project in which Innovation Fund Denmark has invested DKK 19.3 million.

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Building reliable AI for a changing world

Foundation models can analyse images, draft reports, and support decisions across complex workflows. But in real-world settings, even highly capable AI systems can become unreliable when conditions change.

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New professor heralds a paradigm shift in data communication

Smart cities, Industry 4.0, tele-surgery, e-health, volumetric video streaming, artificial intelligence. With the rapid development of digitalisation across various sectors, a wide range of applications have emerged that demand unprecedented levels of reliable, low latency connectivity and timely decision-making.

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