Join us for a day full of talks and hands-on sessions led by top-notch experts from academia and tech-savvy businesses. Discover the possibilities of new data processes, machine learning, and AI as they pave the way for groundbreaking innovations and untapped opportunities.

Whether you’re a seasoned pro or just starting out, this event is designed for everyone – no prior AI experience required! Don’t miss out on this chance to broaden your horizons and immerse yourself in the fascinating world of AI.

Secure your spot now and join us for a thrilling day packed with invaluable AI insights and knowledge.

Program

8.30-9.00: Doors open & arrival

9.00-9.15: Welcome

9.15-9.45: Keynote: Digital Twins and Development of AI Solutions 
By Professor Peter Gorm Larsen, Aarhus University

A digital twin is a digital representation of a physical object, process, human, place, system, or electronic unit. The purpose of the digital twin is to answer questions related to the physical equivalent, the physical twin, with very little delay. Along with new sensor technology, such a digital representation can provide new technical insights, which can help to improve a product’s performance and inspire the next generation of the product. The idea of using ”twins” in engineering environments dates back to NASA’s Apollo program in the 1970s, and it gradually began seeing adoption in industry in 2002. Last year Gartner predicted that the market for digital twins would ‘jump the gap’ in 2026 and reach several hundred billion dollars over the following 5 years.

9.45-10.30: Keynote: Exploring the Depths of Algorithms and AI
By Professor Kasper Green Larsen, Aarhus University

How can Google handle more than 8 billion searches per day? And how does artificial intelligence work? In this keynote, Professor Kasper Green Larsen from Department of Computer Science at Aarhus University will explain what algorithms are, how different algorithms can be more or less effective, and why it is important. Next, we will take a closer look at artificial intelligence, also known as machine learning, to understand how computers can “learn” to understand natural language, recognize images, make predictions, and even write text that is very difficult to distinguish from something written by humans. Finally, we will also address the ethical issues involved and what researchers in the field will be concerned with in the coming decades.

10.45-12.15: Breakout sessions
Participants can choose between three different workshops, featuring prominent tech companies. 

12.15-13.00: Lunch

13.00-14.30: Breakout sessions
Participants can choose between three different workshops, featuring prominent tech companies.

14.30-15.00: Networking

The event is co-hosted by DIREC, Destination Aarhus, and DI Digital