Quantum Breakfast: are you ready for Quantum, AI and Data?

Join us for an enlightening event focused on the exciting world of quantum, artificial intelligence and data. This event is designed for professionals, researchers, and enthusiasts who are eager to explore the potential and challenges of quantum, AI and data. This is the fourth one of the Quantum breakfast series organised by the University of Luxembourg and the Chamber of Commerce to celebrate the International Year of Quantum Science and Technology. The event will be moderated by Lisa Burke.

Programme

8:30

Registration & coffee
9:00

Welcome words

Max Gindt

Head of Unit – Digital Policy (AI & Emerging technologies), Ministry of State

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Daniel Opalka

Head of Unit Research & Innovation, European High-Performance Computing Joint Undertaking (EuroHPC JU)

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9:10

Intersections between Quantum, AI, and Data

The megatrends of AI, data, and quantum are intimately interconnected and overlaps between these fields often lead to unforeseen synergies and breakthroughs. For example, discovery of functional molecules in chemical and pharmaceutical industries is based on producing millions of data points with quantum calculations, then using AI to construct efficient force fields, and finally executing simulations that produce data that can be compared to experiments. Such feedback loops happen through all fields of science and technology. For this reason, these megatrends should not be perceived as isolated components, but rather as an interacting ecosystem.

The main challenge to capitalize on this feedback between AI, data, and quantum is to build multidisciplinary teams that integrate experts with multidisciplinary expertise, including domain experts (in chemistry, biology, physics, or engineering), AI researchers, data scientists, and software engineers. These teams should have direct access to state-of-the-art high performance computing platforms (Meluxina, AI Factory), and work in synergy with university researchers, startups, and established industry.

Alexandre Tkatchenko

Professor in theoretical condensed matter physics, University of Luxembourg

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9.30

Artificial Intelligence and Data: On the Use of Synthetic and Imbalanced Data

The talk explores the intersection of artificial intelligence and data-driven applications in industrial and research contexts. Two examples are presented. The first part shows the application of synthetic datasets for vehicle interior applications. The synthetic dataset is designed for machine learning tasks in vehicle interior environments. Its structure, use cases in occupant detection and classification, and how synthetic data can enhance model robustness are presented. The second part focuses on automatic optical inspection (AOI) to detect defect parts in the production. Challenge for the AI development are the strong unbalanced dataset together with the unsharp labelling of the data. Solution concepts to overcome these challenges are shown.

Thomas Stifter

Department Manager Basics & Mathematical Models, IEE
10.00

Break
10:15

Round table

Max Gindt

Head of Unit – Digital Policy (AI & Emerging technologies), Ministry of State

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Jens Kreisel

Rector, University of Luxembourg

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Daniel Opalka

Head of Unit Research & Innovation, European High-Performance Computing Joint Undertaking (EuroHPC JU)

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Thomas Stifter

Department Manager Basics & Mathematical Models, IEE

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Alexandre Tkatchenko

Professor in theoretical condensed matter physics, University of Luxembourg

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11.00

Closing words

Jens Kreisel

Rector, University of Luxembourg

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