Wspólne Seminarium KA i MTPR

W jaki sposób mózg potrafi wyłowić istotne dźwięki z akustycznego chaosu – i dlaczego dla komputerów wciąż jest to tak trudne?
Dr Tomasz Grzywalski - Learning to Listen Again: Cycles of Understanding in Artificial Intelligence

Szanowni Państwo,

Chcąc promować Akustykę wśród Fizyków, zdecydowaliśmy, że niektóre Seminaria Katedry Akustyki będą odbywać się w ramach seminariów MTPR. W ten sposób pragniemy zaprezentować szeroki zakres tematyczny oraz przedstawić zagadnienia i wyzwania współczesnej Akustyki.

W tym roku zaplanowaliśmy dwa Seminaria Katedry Akustyki połączone z seminariami MTPR. Pierwsze z nich odbędzie się w najbliższą środę. Liczymy na Państwa obecność oraz wsparcie naszych działań zmierzających do promocji Katedry Akustyki, naszych badań, jak również współpracy badawczej na Wydziale.

W związku z tym termin seminarium Katedry jest zbieżny z terminem seminarium MTPR: 21 stycznia o godz. 13:00 w Auli im. Prof. Arkadiusza Piekary, Collegium Physicum.

Szczegóły znajdują się poniżej.
Z poważaniem,
Jędrzej Kociński
Arkadiusz Józefczak
Andrzej Wicher

Dear Colleagues!

We are pleased to invite you to the following Modern Trends in Physics Research (MTPR) seminar, which will be held on January 21 at 13:00 in the Prof. Arkadiusz Piekara Auditorium, Collegium Physicum.

Dr Tomasz Grzywalski
Head of Research at StethoMe, Poznań, Poland WAVES Research Group, Department of Information Technology, Ghent University, Ghent, Belgium

will speak about:

„Learning to Listen Again: Cycles of Understanding in Artificial Intelligence”

Abstract: Our sense of hearing constantly delivers vast amounts of information. In everyday life, our brains are remarkably good at separating what matters from background noise – for example, recognizing a familiar voice in a crowded room or noticing a warning sound in traffic. Teaching computers to do something similar, however, remains a major challenge. While modern artificial intelligence systems can recognize sounds, they often struggle in noisy, real-world environments.
This talk presents research inspired by how humans listen and think. Instead of treating sound analysis as a single, one-step process, the work explores Al systems that process information in repeated cycles much like how people listen, interpret, and reconsider what they hear. This idea is borrowed from models of human cognition, where understanding emerges gradually through multiple passes of perception and reasoning.
The approach is demonstrated in two practical applications. The first focuses on monitoring animal welfare in poultry farming by analyzing chicken vocalizations, helping farmers better understand animal conditions without invasive methods. The second application looks at improving speech clarity, where an Al system repeatedly refines its own output to better separate speech from noise.
Together, these examples show how taking inspiration from human cognition can lead to more robust and flexible Al systems. Such approaches have the potential to improve technologies ranging from healthcare and agriculture to communication tools and everyday sound-based applications.

******************************************************************************************

Chairman: Prof. A. Józefczak

Additional Information: All are invited to Coffee with the Speaker, starting at 12:30 in front of the auditorium. Please follow the news on the MTPR website (http://mtpr.amu.edu.pl), where information about upcoming events will be available soon.

Those who cannot participate in person can follow the talk using Microsoft Teams:

Dr Tomasz Grzywalski – Learning to Listen Again: Cycles of Understanding in Artificial Intelligence | Meeting-Join | Microsoft Teams

Sincerely Yours,
Aleksandra Trzaskowska
Konrad Kapcia
Arkadiusz Józefczak
Bartłomiej Graczykowski

____________________________________

dr. hab. Jędrzej Kociński, assoc. prof. of AMU
Department of Acoustics
Faculty of Physics  and Astronomy
Adam Mickiewicz University, Poznań
Uniwersytetu Poznańskiego 2