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University of Graz Natural sciences Institute of Physics News New Uni Graz Podcast Episode about the Interdisciplinary AI Project DELPHI
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Thursday, 01 August 2024

New Uni Graz Podcast Episode about the Interdisciplinary AI Project DELPHI

(from left) Isabell Piantschitsch, Philipp Berghofer & Philipp Spitzer. Photo: Uni Graz/Freitag ©Mag. Ulrike Freitag

(from left) Isabell Piantschitsch, Philipp Berghofer & Philipp Spitzer. Photo: Uni Graz/Freitag

(from left) Isabell Piantschitsch, Philipp Berghofer & Philipp Spitzer. Photo: Uni Graz/Freitag ©Uni Graz/Freitag

(from left) Isabell Piantschitsch, Philipp Spitzer & Philipp Berghofer. Photo: Uni Graz/Freitag

Podcast Series – 2 Scientists Meet ...

 

What happens when two scientists from completely different fields collaborate? What challenges do they face? What synergies arise, and why do they do it at all?

 

The podcast series "2 Scientists Meet (Treffen sich zwei)” introduces researchers working in interdisciplinary and transdisciplinary projects. The scientists are interviewed by Philipp Spitzer, who, as a chemist, physicist, and science communicator, offers an additional perspective.

 

Artificial Intelligence - Better Than It Should Be?

What do philosophers and physicists have in common, and why are they so interested in AI?

Isabell Piantschitsch (Institute of Physics) and Philipp Berghofer (Institute of Philosophy) join Philipp Spitzer (chemist and science communicator) to discuss their joint project "Deep Learning in Natural Sciences and Philosophy – What Epistemological Role Does Artificial Intelligence Play in Basic Research?" (https://www.uni-graz.at/de/neuigkeiten/ki-in-der-forschung-zu-gut-um-wahr-zu-sein/)

The interests of mathematician, physicist, and philosopher Isabell Piantschitsch and philosopher and physicist Philipp Berghofer overlap in many areas, and one could say that they speak the same (scientific) language. Currently, the two are researching another shared interest: artificial intelligence. How does it work, and why does it sometimes provide better data for research than it should be able to? How is this data handled and what impact does AI actually have on research and everyday life? These and other questions are being explored by the two researchers as part of their project "Deep Learning in Natural Sciences and Philosophy."

As part of the project, the DELPHI Conference (Deep Learning & Philosophy Conference) will take place at the University of Graz in September (https://delphi-conference2024.com/main). At this conference, scientists from a wide range of disciplines—from neural engineering and social and legal sciences to astrophysics—will discuss the great potential and the risks of applying artificial intelligence. Find out more about the project and why philosophy and physics fit so well together in the second episode of the podcast "Treffen sich zwei".

Podcast Eps. II – Artifical Intelligence: better than it should be (in German)

(https://www.youtube.com/watch?v=hVpZHo1RQME&t=114s)

created by Mag. Ulrike Freitag

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Flawlessness defying imperfection

Researchers from the OpNaQ group (Banzer) at the University of Graz and international partners have demonstrated a miniaturized silicon‑nitride photonic chip that can precisely measure the polarization of visible light, even though some of its own components are imperfect. The work, published recently in Advanced Photonics Nexus, demonstrates a new class of passive, compact, and high‑speed on‑chip polarimeters designed for applications ranging from biomedical imaging to quantum communication.

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