Manuel Pasieka
Austrian Artificial Intelligence Podcast
Guest Interviews, discussing the possibilities and potential of AI in Austria. Question or Suggestions, write to austrianaipodcast@pm.me
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Autor
Manuel Pasieka
Kategoria
Strona podcastu
Ostatni odcinek
3 lut 2026
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Odcinki
47. Michael Trimmel - HalloSofia - Building AI startups 101 20.09.2023 53:23
Today on the show I am talking to Michael Trimmel, head of AI at HalloSofia about his journey as an entrepreneur, building AI Startups. This episode will be most valuable to people that interested in creating an AI startup or at the beginning of this journey. Michael will tell his personal startup story, describing his troubles and learnings on the way. Its particular important to him to highlight...
46. Moritz Schaefer - CeMM - Diffusion Modells for Protein Structure Prediction for antibody design 29.08.2023 57:49
# Summary In our bodies, the Immune system is detecting foreign pathogens or cancer cells, called antigens, with the help of antibody proteins that detect and physically attach to the surface of those cells. Unfortunately our immune system is not perfect and does not detect all antigens, meaning that the immune system does not have all antigens it would need to detect all cancer cells for example....
45. Martin Huber - AMRAX - Building Digital Twins for indoor applications 09.08.2023 54:18
# Summary Today on the show I am talking to Martin Huber Co-Founder and CEO of AMRAX. We will talk about their product Metaroom; an AI application that is build on-top of consumer smartphones and makes it possible to create a digital twins of buildings for indoor user cases, like interior and light design. We will focus less on algorithms and Machine Learning Methods, but on the impact that sensor...
43. Daria Romanovskaia - CeMM - Applying Machine Learning to Precision Medicine 28.06.2023 46:00
# Summary Personalized Medicine has the goal to improve the efficiency of medical treatments that is particularly import for deceases like cancer. The basic premise of personalized medicine is that by understanding what distinguishes different patients from one another, we can design patience specific treatment plans that are more effective then giving the same treatment to everyone. These patienc...
42. Rahim Entezari - TU-Graz & CSH - Improving generalization in parameter and data space 01.06.2023 1:05:27
# Summary Did you ever had the experience that you where training a network, investing a lot of time in finding the right hyper parameters and testing different initializations to push that validation accuracy over certain threshold? Only to then find out when putting the model into production, that it significantly underperforms? If you did, then you experienced one common problem with deep neura...
41. LIVE from DSC DACH 2023 11.05.2023 1:01:31
# Episode Today I am trying a new podcast format. This episode is a collection of short interviews taken live at the DSC DACH 2023 conference that has taken place in Vienna from the 20 to 21 of April. The DSC DACH conference is a technology conference had a diverse set of talks and tracks, from industrial applications of AI to the next generation of deep learning methods. The motto of this years i...
40. Mario Tuta - Stoic Analytics - Enable AI for SME's @ Salz21 23.04.2023 53:33
# Sumary Today the Austrian AI Podcast is in Salzburg visiting the Salz21 an Innovation conference, that by the time this episode is out, has taken place from the 15 to the 16 of march 2023 in the city of Salzburg. This year there is a special interest in Artificial Intelligence, dedicating the "Stage of AI" to different presentations and discussion with a fast selection of speakers and...
39. Gabriele Bolek-Fügl - Building trustworthy and compliant AI Systems@Salz21 20.04.2023 48:58
# Sumary Today the Austrian AI Podcast is in Salzburg visiting the Salz21 an Innovation conference, that by the time this episode is out, has taken place from the 15 to the 16 of march 2023 in the city of Salzburg. This year there is a special interest in Artificial Intelligence, dedicating the "Stage of AI" to different presentations and discussion with a fast selection of speakers and...
38. Wolfgang Trutschnig-University of Salzburg-IDALab@Salz21 18.04.2023 32:44
# Summary Today the Austrian AI Podcast is in Salzburg visiting the Salz21 an Innovation conference, that by the time this episode is out, has taken place from the 15 to the 16 of march 2023 in the city of Salzburg. This year there is a special interest in Artificial Intelligence, dedicating the "Stage of AI" to different presentations and discussion with a fast selection of speakers and...
37. Elma Dervić - Using network science to find criticial factors and events in decease trajactories 29.03.2023 54:51
## Summary Today on the show I have the pleasure to talk to Elma Dervic. PhD at the Medical University of Vienna where she is applying network science to study patience medical records to identify how correlating deceases evolve over time and individual factors and events contribute to send patience on very different decease progressions. So doctors get a better understanding what treatments to ap...
36. Adrian Spartaru - Cleanvoice - Building an AI Startup as a solo founder 06.03.2023 1:02:01
# Summary I must admit that I was thinking about starting my own startup for a long time, but never had the guts to really do so. One excuse that I always told myself was, that I am all alone, and I dont have a team with which to start that adventure. Well if you are like me, than this episode is for you! Today on the show I am talking to Adrian Spartarus. Founder of two AI Startups, and he did so...
35. Kathrin Kefer - Optimizing Enery Transfer using Genetic Programming and Symbolic Regression 14.02.2023 47:08
# Summary Today on the show I am talking to Kathrin Kefer PhD student at the JKU and her research at Fronius where she is optimizing single household power grids with their own photovoltaik installations to reduce costs and their dependency on the energy suppliers. Kathrin will explain to us some of the challenges when controlling how power is used, stored and distributed in a system, as wel...
34. Paul Puntschart - AI Prototyping and Mixed Intelligence with fun 24.01.2023 54:59
# Summary Building AI solutions is hard. Using the AI hammer to be solving the actual source of a problem even harder. Today on the show I am talking to Paul Puntschart on how to make sure to ask the right questions and try to use AI to answer the best questions that will solve the challenges that you are facing. Paul will describe his approach of mixed intelligence. AI prototyping and playscience...
33. Mykola Bubelich: Belichberg - Computer Vision on the edge for perimeter surveillance 03.01.2023 53:42
# Summary Today on the show my guest is Mykola Belich found of Belichberg a software development company developing multiple products and services in the data and ML space. On the show Mykola will talk about their work in the area of video surveillance for photovoltaic plants in isolated rural areas.= On the show he will share some of the biggest challenges that they had to overcome to apply compu...
32. Florian Thaler - VVR GmbH - Testing RL Agents for safety-critical systems 13.12.2022 55:33
# Intro Self driving cars have been a highly debated topic for years now, but today on the show we are not going to focus on the state of those autonomous vehicles, driver assisting systems or what so ever, but instead we are going to focus on the testing aspect of autonomous operating agents. Today on the show I have the pleasure to talk to Florian Thaler, researcher at the Virtual Vehicle...
31. Klaudius Kalcher - Magic.dev: Using Large Language Models to build AI driven software development support systems 22.11.2022 1:20:58
# Summary Today on the Austrian AI Podcast, we join the hype and talk about big language models and program synthesis. I am sure you have heard about OpenAI's code pilot, or AWS Codewhisper, or even about Google's internal projects to use big language models to help developers write better code, faster. Program synthesis models are all over the news and today I have the pleasure to talk to Klaudiu...
30. Maria del-Rio Chaona - CSH Vienna: Harvesting social networks for agent based modelling using NLP 02.11.2022 50:14
# Summary Today on the show we will be talking about agent based modelling that is used to simulate macro economical systems, like the British labour market. For this I am talking to Maria del Rio Chanona currently doing her PhD at the Complexity Science Hub Vienna. Maria will not only tell us about ways to use agent based modelling to simulate the effect of policy changes or external events like...
29. Kirill Simonov - TU Wien: Solving NP-hard Problems with approximation and parameterized complexity algorithms 07.10.2022 59:27
# Episode Most AI practitioner's, including myself, think of long running algorithms as something that is caused by big data or poor implementation and that can be solved best by more compute, but today on the show we will be discussing hard problems and their runtime complexity with Kirill Simonov from the algorithm and complexity group at the technical university Vienna. Kirill is talking about...
28. Moritz Feigl - Baseflow.ai: Applying Machine Learning in Hydrology 30.08.2022 1:11:15
Intro I am sure most of you are listening or looking at some weather forecast during the day and more often than we like to see, we read news about climate change causing new temperature records or glaciers melting at accelerating rates. Today we are not going to talk about climate change or weather forecast directly, but its underlying principle, Hydrology (which is study of water movement and di...
27. Stephan Stricker & Maxime Kaniewicz - Pair Finance : Reinforcement Learning and Targeted Marketing in debt collection 11.06.2022 1:12:15
# Summary Have you every had troubles paying your bills and got some nasty calls or letters about it? Debt collection is surely one area where I would not have thought to find AI, but today on the show, I am talking to Stephan Stricker Founder and CEO of Pair Finance and Maxime Kaniewicz, Data Science Team lead. On how they combine the insights and methods from targeted marketing with reinforcemen...
26. Nina Popanton - DIO : Building the Data economies of the future based on European Values 20.05.2022 53:07
When we talk about data on this podcast, its mostly about training data and its properties that are relevant for the training machine learning models. But today we look at the bigger picture and the use of data in future data economies. How should the future use of data on a bigger scale look like? How can we make sure to build trustworthy and ethical data economy that follow our European Values?...
25. Adrian Schiegl - XUND : Building a medical decision support and recommendation system 29.04.2022 1:01:06
Today on the show I am talking to Adrian Schiegl, the head of data science at XUND; an Austrian AI Startup that develops systems to predict medical diagnoses based on patients self reported symptoms. During the interview Adrian is going to share some of the findings, challenges and solutions XUND has experienced and developed since its inception in 2018. For example, Xund's decision to move away f...
24.2 Hamid Eghbal-zadeh - JKU : Improving out of distribution performance with robust and disentangled representations - Part 2/2 15.04.2022 39:44
This is the second part of my interview with Hamid Eghbal-zadeh, post-doc at the Johannes Kepler University at the Institute of Machine Learning. In the interview, we are talking about his research on a series of different aspects of representation learning with deep neural networks in order to make them more robust and improve their out-of-distribution behavior. In this second part, we are talkin...
24.1 Hamid Eghbal-zadeh - JKU : Improving out of distribution performance with robust and disentangled representations - Part 1/2 08.04.2022 46:32
This is the first part of my interview with Hamid Eghbal-zadeh, post-doc at the Johannes Kepler University at the Institute of Machine Learning. In the interview, we are talking about his research on a series of different aspects of representation learning with deep neural networks in order to make them more robust and improve their out-of-distribution behavior. In this first part, we are talking...
23. Moritz Kampelmühler - Reactive Reality : On virtual dressing rooms and 3D reconstruction from plain images 18.03.2022 1:11:51
# Show Today on the show I have the pleasure to talk to Moritz Kampelmühler; Computer Vision and Machine Learning Research Engineer at Reactive Reality. Reactive Reality is a spin-off from the Technical University of Graz that started out with developing a virtual dressing room that can be used by shoppers to create a virtual avatar of themselves and try out all kinds of different garments. On the...
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