AIAV – Knowledge hub around AI and robotics for companies
04. November 2021
The web platform AIAV offers basic knowledge and application examples in the field of Artificial Intelligence and Robotics. A team from the faculties of Industrial Engineering and Computer Science wants to make these topics more tangible for companies and facilitate their entry into the technology.
Artificial intelligence and the associated technologies are already used in many areas of everyday life – from voice assistants on smartphones to (partially) autonomous cars and flexible cooperation between robots and humans in industry. For small and medium-sized enterprises (SMEs) in particular, however, the barrier to entry for the use of artificial intelligence in practice is often still too high and implementation is difficult alongside day-to-day business. “Smaller companies often have too few resources to deal with the topic in more detail. This often results in misunderstandings and exaggerated expectations,” says Wilfried Wöber. He is the head of the AIAV project (AI Anwenden und Verstehen) funded by the City of Vienna, with which a team from the Faculty of Industrial Engineering at the University of Applied Sciences Technikum Wien has set itself the goal of making the topic more tangible for SMEs and thus facilitating their entry into the technology.
Web platform as knowledge hub
To this end, the AI and robotics experts at the UAS have launched an online platform as a knowledge hub around the practical use of artificial intelligence with a focus on robotics. The website provides clearly structured basic knowledge, offers answers to specific questions as well as a method database and shows concrete, already realized application examples for the implementation of AI in use cases.
Understanding, applying, networking
For this purpose, the web platform is divided into three major subsections: Under the menu item “Understanding AI”, experts from the FH Technikum Wien provide information in texts and short videos about the basics of the technology, explain the “capabilities” of AI systems and explain which methods exist and how they can be used. Under “Applying AI”, there is a collection of practical examples that demonstrate real-life use cases and problem solutions – for example, how a mobile robot automatically supplies employees with coffee, how “machine learning” is used in scientific image analysis, or how movement paths can be planned for autonomous robots in a production environment.
The third central element of the website is the “Who-is-who-finder”, which provides an overview of companies and institutions in the context of artificial intelligence. The “Research & Education” section lists universities of applied sciences, universities and academies that offer courses of study and continuing education, while the “Development & Consulting” section lists companies and service providers that already have advanced expertise in the field, organized by topic. Interested employees of companies who want to delve deeper into the subject matter can quickly find further contacts and networking opportunities in the field of AI and robotics.