## 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 apply in younger patients to reduce the probability of follow up complications when those patients get...
Mar 29, 2023•55 min•Season 2Ep. 37
# 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 as a single solo founder. On this episode we will discuss some of the challenges that one faces as ...
Mar 06, 2023•1 hr 2 min•Season 3Ep. 36
# 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 well how she has developed a control system that is applying symbolic regression in a genetic algorithm parad...
Feb 14, 2023•47 min•Season 3Ep. 35
# 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 in order to through an playful iterative development process learn more about the problem you try t...
Jan 24, 2023•55 min•Season 3Ep. 34
# 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 computer vision on low power edge devices in deployment scenarios where maintenance is only possible unde...
Jan 03, 2023•54 min•Season 3Ep. 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 Research GmbH in Graz, focusing on testing reinforcement learning agents for safety critical systems. Flor...
Dec 13, 2022•56 min•Season 2Ep. 32
# 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 Klaudius Kalcher cofounder of Magic.dev an AI startup that builds Software, that builds Software. In the ep...
Nov 22, 2022•1 hr 21 min•Season 2Ep. 3
# 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 the pandamic on complex systems like the labour market, but during our deep dive, she will talk abou...
Nov 02, 2022•50 min•Season 2Ep. 30
# 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 this research in algorithm complexity and gives us a taste of how to solve hard problems with for ex...
Oct 07, 2022•59 min•Season 2Ep. 29
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 distribution in a physical system). We will talk about strategies to build Hydrological models and mor...
Aug 30, 2022•1 hr 11 min
# 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 reinforcement learning, to nudge customers towards paying their bills. I think this episode is of great value to...
Jun 11, 2022•1 hr 12 min•Season 2Ep. 27
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? Today on the show I am talking to Nina Popanton from the Data Intelligence Initiative (DIO) about it...
May 20, 2022•53 min•Season 2Ep. 26
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 from developing an mobile phone based self diagnosis system towards an Medical API that enables other...
Apr 29, 2022•1 hr 1 min•Season 2Ep. 25
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 talking about disentangled representations and the benefit they bring to agents trained in contextualized ...
Apr 15, 2022•40 min•Season 2Ep. 24
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 about the origin of representation learning and data augmentation. Hamid explains his research on th...
Apr 08, 2022•47 min•Season 2Ep. 24
# 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 show, Moritz explains how they provide a rich shopper experience that scales making use of methods ...
Mar 18, 2022•1 hr 12 min•Season 2Ep. 23
# Intro Today on the show I have the pleasure to talk to Shiva Ghahremani, Co-founder and CEO of Asigmo Data Science. Asigmo is a teaching company that has developed a data science Bootcamp to jump-start your career in Data Science. In the interview, we talk about the structure of the Bootcamp and the content of the syllabus. We further discuss the role of boot camps in the wide area of online education and how at Asigmo they strive to find the perfect balance between the time students invest in...
Feb 24, 2022•53 min•Season 2Ep. 22
# Summary Yasin is a first year PhD Student working on improving information retrieval systems as part the European DOSSIER project. Where he is investigating new ways to improve the relevance of search results presented by interactive learning systems. In particular his work focuses on ways to model, leverage and measure the user's Knowledge Gap; which is the difference between a user's prior understanding about a topic, before learning and their understanding after they have spend time using a...
Feb 03, 2022•1 hr 8 min•Season 2Ep. 21
# Intro Carina Zehetmaier, CEO and Co-Founder of Taxtastic an Austrian AI Startup that develops small business and consumer solutions for income tax declaration. We cover multiple topics on today's show. Starting out with talking about the technical challenges, Carina and her Team are facing when digitizing receipts. Not only how they make use of methods from image analysis in order to extract the relevant information from receipts, but as well how they classify receipts based on methods from NL...
Jan 14, 2022•1 hr 5 min•Season 2Ep. 22
# Intro Michael is the co-founder and director of SO Digital Recruitment focusing on data positions in the DACH region, with a special focus on Austria. During the Interview, Michael is looking back at 2021 from a recruiter's perspective on what skills and profiles have been in demand, and what is in decline. We are talking about the long-term effect of COVID on companies hiring strategies and how they need to adapt in order to continue to attract talent. We end the interview by discussing the p...
Dec 28, 2021•1 hr 3 min•Season 1Ep. 25
# Intro Resul Akay is the Chief Data Scientist at Quantics.io, where he is developing a platform to enable predictive modeling for supply chain optimization. Enabling customers from different industries and different steps of their supply chain, to accurately predict demand and optimize their supplies accordingly. In the interview Resul explains to us some of the main challenges of supply chain optimization, and how at Quantics.io they address those challenges by making use of a self-aware compu...
Dec 14, 2021•1 hr 6 min•Season 1Ep. 18
# Intro Noah Weber is the Chief Technology offer at Celeris Therapeutics. Celeris is discovering candidates for targeted protein degradation in silico using Artificial Intelligence, to accelerate drug discovery and find cures for diseases like Alzheimer's. In the first part of the show, he shares his experience on the importance of good MLOps practices and the importance of cloud solutions for the development of AI products at scale. In the second part, we talk about the core technology that Cel...
Nov 27, 2021•1 hr 7 min•Season 1Ep. 19
Taylor Peer is currently working as the Director of Data Science at Cortical.io, a Viennese AI company developing business solutions for information extraction and processing using Natural Language Understanding. On the show we are talking about Semantic Folding, the core technology developed by Cortical.io that is enabling all their business products, and how the company evolved from a technology provider to a solution provider, and the challenges of integration data driven AI solutions at cust...
Nov 10, 2021•40 min•Season 1Ep. 16
# Intro Jelena Milosevic is currently working as a Data Scientist focusing on the application of machine learning in embedded devices in industrial settings. On the show we are going to talk about the challenges in developing ML models for mobile and Embedded devices like limited compute and power. In addition we are touching on several information security aspects for such ML use cases. # References Jelena Milosevic - https://www.linkedin.com/in/milosevicjelena/ Paper: Time, accuracy and power ...
Oct 17, 2021•1 hr 6 min•Season 1Ep. 15
# Intro Marco Mondelli is a group leader at the IST Austrian, focusing on theoretical machine learning and in particular on properties and behaviour of gradient descent methods when used to train overparameterized deep neural networks. In this interview Marco describes his reasons to start a theoretical machine learning research Group at the IST Austria and several aspects of the IST PhD program. In the second part of the interview we discuss the research done in his groups and recent publicatio...
Sep 27, 2021•1 hr 3 min•Season 1Ep. 14
Julia is a researcher in the E-Commerce Group at the TU Vienna, focusing on the analysis of social networks. In the first part of the interview, Julia will describe the motivations and possibilities of performing network analysis on social networks. She will give examples of such analysis from the literature, as well as from her own research. In the second part of the interview, Julia will talk about the digital humanism initiative. A international collaboration of scholars, policy makers and in...
Aug 06, 2021•1 hr 5 min•Season 1Ep. 13
Summary Rania has a background in theoretical mathematics and has focused her work in recent years as a Data Scientists on natural language understanding and social media monitoring. Today on the show she will share her experience of organising Data4Good, an NGO organisation that is bringing together DataScientists and other NGO's on a voluntary bases in order to support different social projects. During the second part of the interview, Rania will describe the ongoing efforts by women in AI Aus...
Jul 22, 2021•51 min•Season 1Ep. 12
Summary Christoph is the Chief Operation Officer and one of the co-founders of Image Biopsy Labs. IB Labs, is a Viennese startup that is developing a modular AI platform to accelerate the work of radiologists ensuring high precision, transparency and control. On the interview, Christoph is sharing his experience on the most important aspects of creating an AI startup for safety critical applications. What stages such a startup has to pass in order to be successful, and some of the biggest challe...
Jul 09, 2021•1 hr 7 min•Season 1Ep. 11
Summary In this episode, Linda Anderson a computational Linguistic by training and founder of the AI startup "Artificial Researcher" is talking about the history and challenges of domain specific text mining. We are discussing why many of the typical DL driven approaches fail on domain specific text mining applications and how her company "Artificial Researcher" is coping with those challenges. References Linda Anderson : https://www.linkedin.com/in/linda-andersson-76483916/ Linda Anderson (TU W...
Jun 25, 2021•1 hr 35 min•Season 1Ep. 10
In this episode, Frank is sharing his experience in teaching about AI over the years at different institutions to students from all backgrounds, ranging from businesses focused questions about digitalisation to CEO's, or guiding domain experts in their first experiences in areas of data science, to software developers about the implementation of ML algorithms and methods. In the second part of the interview, we discuss the challenges and opportunities of the digital transformation for universiti...
Jun 11, 2021•1 hr•Season 1Ep. 9
