LWMathon: Enhancing Research Productivity. Prof Albrecht Schmidt holds a tutorial on prompt engineering with LLMs at the LWMathon on March 4th 2024 in Kaiserslautern. read more of Albrecht Schmidt: Prompt Engineering Tutorial

LWMathon: Enhancing Research Productivity. Dr Jie Li discusses using synthetic users in industry research at the LWMathon on March 4th 2024 in Kaiserslautern. read more of Jie Li: Synthetic User Research in Industry

LWMathon: Enhancing Research Productivity. Prof Kaisa Väänänen discusses the research cycle and the opportunities available to utilise LLMs in the process at the LWMathon on March 4th 2024 in Kaiserslautern. read more of Kaisa Väänänen: The Research Cycle and LLMs

Retrieval Augmented Generation (RAG) is taking LLMs to the next level in terms of grounding and data retrieval. However, The current AI landscape is likely the fastest evolving field of science in human history and only the most dedicated professionals ar... read more of Data Conversations Made Easy: Build-my-RAG

Workshop to build a renewable energy resource device – namely a Smart Solar Box (SSB). read more of DIH4AI: Smart Energy Living Lab

Tutorial on the DIGIHALL Platform based on Papyrus for Robotics, for the design of vehicle software architectures and for the validation of behavior-tree based scenarios and autonomous driving policies in CARLA/ROS 2 read more of DIH4AI: Low-code platform for the development of safe and trustable software modules for autonomous driving

Nine YouTube video lectures from winter school organized within DIH4AI project by DIH-CIIRC and coorganized by Munich and Saxony-Anhalt DIHs read more of DIH4AI: Lectures on AI-Driven Manufacturing (DIH4AI Winter School for SMEs)

Tutorial on the DIGIHALL Platform based on Papyrus for Robotics, for the design of vehicle software architectures and for the validation of behavior-tree based scenarios and autonomous driving policies in CARLA/ROS 2 read more of DIH4AI: I-PAR-5 Low-code platform for the development of safe and trustable software modules for autonomous driving

AQQA was an AI4Copernicus micro-project, selected in the 5th round of open calls. It aimed to test a language-based interaction with air quality data by making use of linked geospatial data tools and the health bootstrapping service provided by the AI4Cop... read more of AQQA - Air Quality Question Answering

Demonstrations of using the COALA assistant in the white goods use case with Augmented Manufacturing Analytics function. read more of COALA Digital Intelligent Assistant Demo: Augmented Manufacturing Analytics | White Goods Production