Under the title “Get inspired by the latest research in AI: Science Pitches presented by AI Grid”, young researchers presented their latest findings in the field of artificial intelligence.

Our members of the AI ​​Grid Community gave exciting insights into their current research projects. Here is a summary of the lectures:

Hassan Hussein: Dive deep into the world of AI and asked fascinating questions about recognition and interpretation by AI systems using the example of 'Jaguar' as an animal and car.

Tanise Ceron & Amelie W.: Discussed the challenges of ultra-personalized algorithms, data protection and the risk of echo chambers. They presented their startup POINT. aims to break down information bubbles with high-quality news across language barriers.

Jonathan Zebhauser: shared his insights about AI companies and the general fear that AI could replace human jobs. He emphasized that AI tools should be seen as a complement rather than a replacement, similar to eggs and milk in a baking recipe.

Linus Henning: Discussed the complexities of optimizing space heating and showed how neural networks can help make fast and accurate predictions.

Theresa Elmer: covered automated machine learning and the journey from data to solution. She explained how dynamic algorithms help to continuously develop our models.

Julian Eßer: Investigates guided reinforcement learning for dynamic robots to bridge the gap between simulation and real-world application so robots can handle more complex tasks in the real world.