AI Summer School (for non-coders)

Summer School on Applied and Interdisciplinary Artificial Intelligence

Title

Summer School on Applied and Interdisciplinary Artificial Intelligence

Lecturer

Dariusz Brzeziński, Dariusz.Brzezinski@put.poznan.pl

Krzysztof Krawiec, Krzysztof.Krawiec@put.poznan.pl

Mikołaj Morzy, Mikolaj.Morzy@put.poznan.pl

Content and organization

Artificial intelligence (AI) has revolutionized the way scientific research is conducted across various disciplines, from biology to physics, and from chemistry to astronomy. It has become an essential tool for researchers to analyze complex datasets, recognize patterns, and make predictions. AI has the potential to accelerate the pace of scientific discovery by automating data collection and analysis, reducing human errors, and unlocking hidden insights from vast amounts of data.

Our summer school is aimed at doctoral students conducting research in all scientific disciplines (except computer science!). We especially welcome those representing the humanities, social sciences, life sciences and artistic fields. Our main goal is to de-mythologize artificial intelligence and present, in a clear, simple and accessible way, what tools and methods are available today. We want to show you how AI and machine learning can help you in your research.

The course is self-paced, there are six lectures covering the introduction to AI, AI for computer vision, and AI for text.

Course Duration

9 hours

Course Type

Seasonal School

Language

English

Modality (online/in person):

online

Host Institution
Poznan University of Technology

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