Shows
Austrian Artificial Intelligence Podcast66. Taylor Peer - Beat Shaper - A music producers AI CopilotToday on the show I have the pleasure to talk to returning guest, Taylor Peer one of the co-founders of the startup, behind Beat Shaper.Taylor will explain how they are following an Bottom-up approach to create electronic music, giving producers, fine grained control to create individual music instruments and beat patterns. For this, Beat Shaper is combining Variational Auto-encoders and Transformers. The VAE is used to create high dimensional embeddings that represent the users preferences that are used to guide the autoregressive generation process of the Transformer. The token sequence generated with the...2025-04-1852 min
Austrian Artificial Intelligence Podcast65. Daniel Kondor - CSH - The long term impact of AI on societyGuest in this episode is the Computational Social Scientist Daniel Kondor, Postdoc at the Complexity Science Hub in Vienna.Daniel is talking about research methods that make it possible to study the impact of various factors like technological development on societies; and in particular their rise or fall, over long periods of time. He explain how modern tools from computational social science, like agent based modelling can be used to study past and future social groups. We talk about his most recent publication that takes a complex systems perspective on the risk AI poses for society and...2025-02-121h 04
Austrian Artificial Intelligence Podcast64. Solo - Manuel Pasieka on the hottest LLM topics of 2024With the last episode in 2024, I dare to release an solo episode, summarizing my christmas research on the topics of
- Small Language models
- Agentic Systems
- Advanced Reasoning / Test time compute paradigm
I hope you find it interesting and useful!
All the best for 2025!
## AAIP Community
Join our discord server and ask guest directly or discuss related topics with the community.
https://discord.gg/5Pj446VKNU
## TOC2024-12-3159 min
Austrian Artificial Intelligence Podcast63. Alexander Zehetmaier - Sunrise AI Solutions - Bringing AI to companies of every size## Summary
Today we have as a guest Alexander Zehetmaier, co-founder of SunRise AI Solutions.
Alex will explain how SunRise AI is partnering with companies to navigate this challenging space, by providing their guidance, knowledge and network of experts to help companies apply AI successfully.
Alex will talk in detail about one of their Partners, Mein Dienstplan that is developing an Graph Neural Network based Solution that is generating complex work time tables. Scheduling a Timetable for a large number of employees and shifts is not an easy...2024-11-1950 min
Austrian Artificial Intelligence Podcast62. Marius-Constantin Dinu - extensity.ai - Building reliable and explainable AI Agent SystemsAs you surely know, OpenAI is not very open about how their systems works or how they build them. More importantly for most uses and business, OpenAI is agnostic about how users apply their services and how to make most out of the models multi-step "reasoning" capabilities .
As a stark contrast to OpenAI, today I am talking to Marius Dinu, the CEO and co-founder of the austrian startup extensity.ai. Extensity.ai as a company follows an open core model, building an open source framework which is the foundation for AI Agent systems that...2024-10-291h 15
Austrian Artificial Intelligence Podcast61. Jules Salzinger - AIT - Building explainable and generalizable AI Systems for AgricultureToday on the podcast I have to pleasure to talk to Jules Salzinger, Computer Vision Researcher at the Vision & Automation Center of the AIT, the Austrian Institute of Technology.
Jules will share with us, his newest research on applying computer vision systems that analyze drone videos to perform remote plant phenotyping. This makes it possible to analyze plants growth, but as well how certain plant decease spreads within a field.
We will discuss how the diversity im biology and agriculture makes it challenging to build AI systems that generalize...2024-10-031h 26
Austrian Artificial Intelligence Podcast60. Alexandre Paris - Proofcheck - LLM fine-tuning and customization## Summary
Today on the show I am talking to Proofreads CTO Alexandre Paris. Alex explains in great detail how they analyze digital books drafts to identify mistakes and instances within the document that dont follow guidelines and preferences of the user.
Alex is explaining how they fine-tune LLMs like, Mistrals 7B to achieve efficient resource usage and provide customizations and serve multiple uses cases with a single base model and multiple lora adapters.
We talk about the challenges and capabilities of fine-tuning, how to do it, when...2024-08-2853 min
Austrian Artificial Intelligence Podcast59. Philip Winter - VRVis - Continual LearningToday I am talking to Philip Winter, researcher at the Medical Imaging group of the VRVis, a research center for virtual realities and visualizations.
Philip will explain the benefits and challenges in continual learning and will present his recent paper "PARMESAN: Parameter-Free Memory Search and Transduction for Dense Prediction Tasks". Where he and his colleagues have developed a system that uses a frozen hierarchical feature extractor to build a memory database out of the labeled training data. During inference the system identified training examples similar to the test data and prediction is performed through...2024-08-071h 06
Austrian Artificial Intelligence Podcast58. Christa Zoufal - Quantum Machine Learning## Summary
AI is currently dominated by Deep Learning and Large Language Models, but there is other very interesting research that has the potential to have great impact on our lives in the future; one of them being Quantum Machine Learning (QML)
Today on the podcast, I am talking to Christa Zoufal, Quantum Machine Learning Researcher at IBM.
Christa will explain how Quantum Computing (QC) and Quantum Machine Learning relates to classical computing (CC).
We will discuss Qbit's, the fundamental information storage and processing unit of quantum computers that in comparison with...2024-07-1659 min
Austrian Artificial Intelligence Podcast57. Eldar Kurtic - Efficient Inference through sparsity and quantization - Part 2/2Hello and welcome back to the AAIP
This is the second part of my interview with Eldar Kurtic and his research on how to optimiz inference of deep neural networks.
In the first part of the interview, we focused on sparsity and how high unstructured sparsity can be achieved without loosing model accuracy on CPU's and in part on GPU's.
In this second part of the interview, we are going to focus on quantization. Quantization tries to reduce model size by finding ways to...2024-06-2546 min
Austrian Artificial Intelligence Podcast56. Eldar Kurtic - Efficient Inference through sparsity and quantization - Part 1/2Hello and welcome back to the AAIP
If you are an active Machine Learning engineer or are simply interested in Large Language models, I am sure you have seen the discussions around quantized models and all kind of new frameworks that have appeared recently and achieve astonishing inference performance of LLM's on consumer devices.
If you are curious how modern Large Language Models with their billions of parameters can run on a simple laptop or even an embedded device, than this episode is for you.
2024-06-0751 min
Austrian Artificial Intelligence Podcast55. Veronika Vishnevskaia - Ontec - Building RAG based Question-Answering Systems## Summary
Today on the show I am talking to Veronika Vishnevskaia. Solution Architect at ONTEC where she specialises in building RAG based Question-Answering systems.
Veronika will provide a deep dive into all relevant steps to build a Question-Answering system. Starting from data extraction and transformation, followed by text embedding, chunking and hybrid retrieval to strategies and last but not least methods to mitigate hallucinations of LLMs during the answer creation.
## AAIP Community
Join our discord server and ask guest directly or discuss related topics with...2024-04-151h 10
Austrian Artificial Intelligence Podcast54. Manuel Reinsperger - MLSec & LLM Security# Summary
Today on the show I am talking to Manuel Reinsperger, Cybersecurity Expert and Penetration Tester. Manuel will provide us an introduction into the topic of Machine Learning Security with an emphasis on Chatbot and Large Language Model security.
We are going to discuss topics like AI Red Teaming that focuses on identifying and testing AI systems within an holistic approach for system security. Another major theme of the episode are different Attack Scenarios against Chatbots and Agent systems.
Manuel will explain to use, what Jailsbreak are...2024-03-251h 05
Austrian Artificial Intelligence Podcast53. Peter Jeitscko - Impact of EU AI Regulation on AI startups## Summary
At the end of last year, the EU-AI Act was finalized and it spawned many discussions and a lot of doubts about the future of European AI companies.
Today on the show Peter Jeitschko, founder of JetHire an AI based recruiting platform that uses Large Language models to help recruiters find and work with candidates, talks about this perspective on the AI-Act.
We talk about the impact of the EU AI-Act on their platform, and how it falls into a high-risk use-case under the new regulation...2024-03-0457 min
Austrian Artificial Intelligence Podcast52. Markus Keiblinger - Texterous - Building custom LLM Solutions# Summary
For the last two years AI has been flooded with news about LLMs and their successes, but how many companies are actually making use of them in their products and services?
Today on the show I am talking to Markus Keiblinger, Managing partner of Texterous. A startup that focus on building custom LLM Solutions to help companies automate their business.
Markus will tell us about his experience when talking and working with companies building such LLM focused solutions.
Telling us about the expectations companies have on the capabilities of LLMs...2024-02-1346 min
Austrian Artificial Intelligence Podcast51. Gabriel Alexander Vignolle - Ensembles methods in medical applications## Summary
Hello and welcome back to the Austrian Artificial Intelligence Podcast in 2024.
With this episode we start into the third year of the podcast. I am very happy to see that the number of listeners has been growing steadily since the beginning and I want to thank you dear listeners for coming back to the podcast and sharing it with your friends.
Gabriel is a Bioinformatician at the Austrian Institute of Technology and is going to explain his work on ensemble methods and their application in the medical domain.
2024-01-1958 min
Austrian Artificial Intelligence Podcast44. Andreas Stephan - University of Vienna - Weak Superversion in NLP# Summary
I am sure that most of you are familiar with the training paradigm of supervised and unsupervised learning. Where in the case of supervised learning one has a label for each training datapoint and in the unsupervised situation there are no labels.
Although there can be exceptions, everyone is well advise to perform supervised training when ever possible. But where to get those labels for your training data if traditional labeling strategies, like manual annotations are not possible?
Well often you might not have perfect labels for your data, but you have...2023-12-2749 min
Austrian Artificial Intelligence Podcast50. Cristian Duguet - Nuvo - Building the next generation of 3D Foundation Models## Summary
I am sure my dear listener, you have heard about genAI that is driven by gigantic foundations models like GPT4 or Stable Diffusion. Generating Texts, Images and even Videos. But what about the 3D Space? What about 3D models that are used as digital twins for the metaverse, for digital cities that are required for self-driving cars to navigate safely in an metropolitan area?
What does 3D genAI look like today?
Well to give us an insight into what is possible today and what they are building for tomorrow...2023-12-261h 05
Austrian Artificial Intelligence Podcast49. Fabian Paischer - JKU & Ellis - Natural Language based episodic memory in RL Agents## Summary
I have a awful memory, but its good enough most of the time, so I can remember where I left my coffee mug or when I am searching for it, where I have looked before. Imagine a person that has no recollection of what happened in their past. They might be running between room A and room B trying to find their coffee mug for ever, not realising they put it in the dishwasher.
What this person is lacking, is an episodic memory. A recollection of their, personal...2023-12-0557 min
Austrian Artificial Intelligence Podcast48. Eric Weisz - Circly - A self-service demand prediction platform for SME's# Summary
Every day you can read and hear about the impact of AI on companies of any industry and size. But are really all business at a stage where they can benefit from the wonders of AI? What about small companies that are not in the tech and dont have the budget to hire data scientists and machine learning engineers. For example, like small retailers of fast moving consumer goods; FMCG in short. that might only have a few stores in a city. They are experts in their field, but lack the personal or infrastructure to have...2023-11-0746 min
Austrian Artificial Intelligence Podcast47. Michael Trimmel - HalloSofia - Building AI startups 101Today 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 highlighting that one can get into AI without having a traditional computer science background.
We will be talking on how...2023-09-2053 min
Austrian Artificial Intelligence Podcast46. Moritz Schaefer - CeMM - Diffusion Modells for Protein Structure Prediction for antibody design# 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.
Modern cancer therapies like CAR T-cells therapy therefor introduces additional antibody proteins into the system. This is still not enough to beat cancer, because cancer is a...2023-08-2957 min
Austrian Artificial Intelligence Podcast45. Martin Huber - AMRAX - Building Digital Twins for indoor applications# 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 sensors and hardware platform have on the AI applications that can be build on top of them.
...2023-08-0954 min
Austrian Artificial Intelligence Podcast43. Daria Romanovskaia - CeMM - Applying Machine Learning to Precision Medicine# 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 patience differences can be studied from different perspectives, like a patience gender, their age, life style or more modern state of the art modalities, like a patience genome and epigenetic information.
2023-06-2846 min
Austrian Artificial Intelligence Podcast42. Rahim Entezari - TU-Graz & CSH - Improving generalization in parameter and data space# 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 neural networks. The performance gap between in and out-of distribution generalization.
Today on the show PhD Rahim Entezari is giving us a wonderful tour through his PhD journey investigating ways to...2023-06-011h 05
Die Dominik Liss Show (WordPress & Business Talks)Was macht eine KI intelligent? | m. Manuel PasiekaIn dieser Episode reden wir mit Manuel Pasieka. Manuel ist Machine Learning Engineer und AI Consultant. Außerdem ist Manuel auch Host des Austrian Ai Podcasts und in dieser Podcast Episode entschlüsseln wir das Buzzword "Künstliche Intelligenz".In dem Gespräch unterhalten wir uns über folgende Themen:00:00 Recap03:10 Intro06:39 Wie ist AI entstanden?16:52 AI Hype Cycles (AI Winter Phasen)26:21 Was macht eine KI intelligent?35:58 Missverständnisse im Bezug auf AI39:05 Unterschied zw Machine Learning und Deep Learning 47:34 Die Zukunft von AI57:42 Wird AI meinen Job ersetzen?Ga...2023-05-241h 04
Austrian Artificial Intelligence Podcast41. LIVE from DSC DACH 2023# 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 iteration was "Save the world through data". An ambitious goal, but I think some of the speakers had interesting ideas and I had a good time...2023-05-111h 01
Austrian Artificial Intelligence Podcast40. Mario Tuta - Stoic Analytics - Enable AI for SME's @ Salz21# 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 topics.
I had the pleasure to meet several of the speakers and to record in total 3 interviews with the followings guests
- Wolfgang Trutschnig from the University of Salzburg...2023-04-2353 min
Austrian Artificial Intelligence Podcast39. Gabriele Bolek-Fügl - Building trustworthy and compliant AI Systems@Salz21# 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 topics.
I had the pleasure to meet several of the speakers and to record in total 3 interviews with the followings guests
- Wolfgang Trutschnig from the University of Salzburg...2023-04-2048 min
Austrian Artificial Intelligence Podcast38. Wolfgang Trutschnig-University of Salzburg-IDALab@Salz21# 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 topics.
I had the pleasure to meet several of the speakers and to record in total 3 interviews with the followings guests
- Wolfgang Trutschnig from the University of Salzburg...2023-04-1832 min
Austrian Artificial Intelligence Podcast37. Elma Dervić - Using network science to find criticial factors and events in decease trajactories## 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 older; several decades into the future.
## TOC
00:00:00 Start
00:01:40 Introduction2023-03-2954 min
Austrian Artificial Intelligence Podcast36. Adrian Spartaru - Cleanvoice - Building an AI Startup as a solo founder# 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...2023-03-071h 02
Austrian Artificial Intelligence Podcast35. Kathrin Kefer - Optimizing Enery Transfer using Genetic Programming and Symbolic Regression# 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 paradigm to find a balance between optimal control and realtime requirements.
2023-02-1447 min
Austrian Artificial Intelligence Podcast34. Paul Puntschart - AI Prototyping and Mixed Intelligence with fun# 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 to solve, learn how to...2023-01-2454 min
Austrian Artificial Intelligence Podcast33. Mykola Bubelich: Belichberg - Computer Vision on the edge for perimeter surveillance# 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 under high costs or not at all.
# References
...2023-01-0353 min
Austrian Artificial Intelligence Podcast32. Florian Thaler - VVR GmbH - Testing RL Agents for safety-critical systems# 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.
Florian will tell us about his experience building a...2022-12-1355 min
Austrian Artificial Intelligence Podcast31. Klaudius Kalcher - Magic.dev: Using Large Language Models to build AI driven software development support systems# 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 episode we talk about how to...2022-11-221h 20
Austrian Artificial Intelligence Podcast30. Maria del-Rio Chaona - CSH Vienna: Harvesting social networks for agent based modelling using NLP# 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 about her most recent work that focuses on...2022-11-0250 min
Austrian Artificial Intelligence Podcast29. Kirill Simonov - TU Wien: Solving NP-hard Problems with approximation and parameterized complexity algorithms# 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 example, approximation algorithms, that exchanging the accuracy or correctness of results for lower...2022-10-0759 min
Austrian Artificial Intelligence Podcast28. Moritz Feigl - Baseflow.ai: Applying Machine Learning in HydrologyIntro
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 more concretely we are looking at the intersection of Machine Learning and Hydrology. For...2022-08-301h 11
Austrian Artificial Intelligence Podcast27. Stephan Stricker & Maxime Kaniewicz - Pair Finance : Reinforcement Learning and Targeted Marketing in debt collection# 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 anyone who is thinking of building...2022-06-111h 12
Austrian Artificial Intelligence Podcast26. Nina Popanton - DIO : Building the Data economies of the future based on European ValuesWhen 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 its role as an enable of data collaborations...2022-05-2053 min
Austrian Artificial Intelligence Podcast25. Adrian Schiegl - XUND : Building a medical decision support and recommendation systemToday 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 vendors to integrate their automatic diagnoses system into their own products. In addition Adrian is telling...2022-04-291h 01
Austrian Artificial Intelligence Podcast24.2 Hamid Eghbal-zadeh - JKU : Improving out of distribution performance with robust and disentangled representations - Part 2/2This 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 reinforcement tasks, in order to operate in unseen contexts and environments.
References:
Personal Homepage: https...2022-04-1539 min
Austrian Artificial Intelligence Podcast24.1 Hamid Eghbal-zadeh - JKU : Improving out of distribution performance with robust and disentangled representations - Part 1/2This 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 the effects of representation learning on model training and highlights some of the important caveats that data...2022-04-0846 min
Austrian Artificial Intelligence Podcast23. Moritz Kampelmühler - Reactive Reality : On virtual dressing rooms and 3D reconstruction from plain images# 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 like photo-realistic rendering and state-of-the-art image processing in 2D a...2022-03-181h 11
Austrian Artificial Intelligence Podcast22. Shiva Gharemani - Asigmo: Building a Data Science bootcamp# 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 the course and the...2022-02-2453 min
Austrian Artificial Intelligence Podcast21. Yasin Ghafourian - TU Wien & RSA : Improving information retrieval systems by modelling a users knowledge gap# 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 learning systems to investigate a domain.
With his work, Yasin aspires to build the next...2022-02-031h 08
Austrian Artificial Intelligence Podcast20. Carina Zehetmaier - Taxtastic: Income tax declaration with AI and the responsible use of customer data# 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 NLP in order to deceit if a receipt is tax relevant or not.
What I...2022-01-141h 04
Austrian Artificial Intelligence Podcast19. Michael Outar - SO Digital Recruitment: Looking back at the Austrian AI Job market in 2021# 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 position Vienna has in the European AI Startup scene...2021-12-281h 02
Austrian Artificial Intelligence Podcast18. Resul Akay - Quantics.io: Forecasting and predictive modeling in supply chain optimisation# 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 computing paradigm to develop a fore casting engine that can analyze its prediction error and trace it to...2021-12-141h 06
Austrian Artificial Intelligence Podcast17. Noah Weber - Celeris Therapeutics: MLOps and Degrader Molecule Design# 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 Celeris has developed to solve the problem of finding candidates for targeted protein degradation. Noah explains t...2021-11-271h 06
Austrian Artificial Intelligence Podcast16. Taylor Peer - Cortical.io: Semantic Folding and Business SolutionsTaylor 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 customers.
# References
Taylor Peer - www.linkedin.com/in/taylorpeer/
Cotical.io - www.cortical...2021-11-1040 min
Austrian Artificial Intelligence Podcast15. Jelena Milosevic - Mondi Group: Machine Learning on mobile and embedded devices# 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 consumption tradeoff in mobile malware detection systems...2021-10-171h 06
Austrian Artificial Intelligence Podcast14. Marco Mondelli - IST: Getting to the bottom of gradient descent methods# 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 publications investigating the reasons behind the efficiency of gradient descent algorithms in optimising deep...2021-09-271h 02
Austrian Artificial Intelligence Podcast13. Julia Neidhardt - TU Wien: On social network analysis and digital humanismJulia 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 industrial players with the goal to ensure that the digital transformation of our society is...2021-08-061h 04
Austrian Artificial Intelligence Podcast12. Rania Wazir: On AI4Good and how to shape future AI regulationsSummary
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 Austria, to discuss and improve future European AI regulations. She describes what options...2021-07-2251 min
Austrian Artificial Intelligence Podcast11. Christoph Götz - ImageBiopsyLabs: On building safety critical AI applicationsSummary
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 challenges that it needs to overcome.
References
...2021-07-091h 07
Austrian Artificial Intelligence Podcast10. Linda Anderson - Artificial Researcher: On the history and challenges of domain specific text miningSummary
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 Wien) http://ifs.tuwien.ac.at/~andersson/
Artificial Researcher : https://www.artificialresearcher.com/
Adversarial Examples in NLP : https://towardsdatascience.com...2021-06-251h 35
Austrian Artificial Intelligence Podcast9. Frank Benda: Teaching ML from programming to company strategyIn 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 universities, and the role of AI for the future of education.
References:
Frank Benda : https://www.linkedin.com/in...2021-06-1159 min
Austrian Artificial Intelligence Podcast8. Sanja Jovanovic: On AI services in azure and women in AIWhat kind of AI related services does azure cloud offer? What are some common reasons companies move into the cloud, and what are common first mistakes that companies encounter?
If those are questions that interest you, then the first part of the interview is for you!
In the second part of the interview, Sanja talks about the global initiative "Women in AI" that she as the Vienna Lead is supporting in order to help women in the field of AI to connect, support each other and increase the representation of female role models in tech.2021-05-2849 min
Austrian Artificial Intelligence Podcast7. Tanja Zinkl: On hiring for an AI StartupWhat are the challenges hiring for an AI startups? How do you hire today, but be prepared for continously changing requirements of tomorrow? Or how do you convince the HR department of your talent and motivation?
If those questions have crossed your mint recently, than this episode with Tanja Zinkl, hiring for the successful Austrian AI company Kaleido, is for you!
References:
Tanja Zinkl : https://www.linkedin.com/in/tanja-zinkl-4aa647114/
Book : Data Teams - A unified Management Model for Successful Data-Focused-Teams by Jesse Anderson
2021-05-1445 min
Austrian Artificial Intelligence Podcast6. Stefan Habenschuss: Building massive simulation environments at blackshark.aiHave you ever been excited to browse the other side of the world on google earth? Just to be disappointed by the poor quality of the 3d reconstructions, and the limited level of detail?
The Graz based AI company blackshark.ai has you covered!
In todays interview, Stefan Habenschuss, leading machine learning at blackshark.ai is explaining
their massive scalable aerial image segmentation system that has been used to create a digital
twin earth with more than 1.5 Billion 3d building reconstructions with an astonishing level of detail.
2021-05-011h 04
Austrian Artificial Intelligence Podcast5. Lukas Fischer: On the Software Competence Center Hagenberg (SCCH)The field of AI and Machine learning is moving with an ever increasing pace, and for most small and medium companies that cannot afford their own research labs, keeping up new scientific papers and software frameworks is almost impossible.
Today on the show I interview Lukas Fischer who is the Research Manager of the Data Science branch of the Software Competence Center Hagenberg that is here to help companies achieve this difficult task. The center has the mission to enable the knowledge transfer from academia to private partners, so that they can stay ahead of the competition.2021-04-171h 05
Austrian Artificial Intelligence Podcast4. Raphael Mitsch: AI consultancy and reinforcement learning in the real worldOn the show today, I have the pleasure to talk to Raphael Mitsch, currently working as a Senior Machine Learning Engineer at the Austrian AI consultancy enliteAI.
Are you curious to learn, what AI consultancy looks like in practice, and what skills are required to be successful as a consultant?
Or are you interested to hear about the challenges and opportunities of reinforcement learning in real world tasks?
If so, then this interview is for you!
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## Raphael Mitsch contact details
https://www.linkedin...2021-04-011h 03
Austrian Artificial Intelligence Podcast3. Jillian Augustine: Making the career jump from academia to industry and the intrinsic value of inclusivenessOn the show today, I have the pleasure to talk to Jillian Augustine.
Jillian is currently working as a Data Scientist in the Digital Excellence Team of the international paper and packaging manufacturer Mondi, but has received your Phd in Molecular Biology. On the show we are discussing Jillian experience working in academia and private industry. She is contrasting the mindset prominent on both sides, and what is needed to be successful, as well what industry can learn from academia, and vice versa.
In addition we briefly discuss different ways how domain experts and data...2021-03-1045 min
Austrian Artificial Intelligence Podcast2. Frank Fichtenmueller: On building AI Teams, business relevant skills and the future of Data ScienceSummary
Today on the show, we have Frank Fichtenmueller.
Frank is currently working as a Senior Solution architect, at Crayon's AI Center of Excellence; here in Vienna, where he is developing distributed systems at scale that apply the power of Machine Learning to solve real world problems and enable new business cases.
Frank has been in AI, for more than a decade now, going through many ups and downs. He has build and sold his own startup, started, managed and grew AI teams from he ground up, as well as organised and led...2021-02-2159 min
Austrian Artificial Intelligence Podcast1. Ivona Vlčková: On Professional growth, how Vienna attracts Ai talent, and Gender bias in Tech.Summary
On this episode of the Austrian AI Podcast, we have the pleasure to interview Ivona Vlčková, a young Data Scientist working at the Viennese AI startup Mostly.ai.
Ivona shares her experience working as a Data Scientists at a Startup with about 30 people and contrasts it with her experience working at an international company with thousands of employees.
We discuss her reasons to move to Vienna, and what Vienna has to offer and how it compares to other cities in attracting talent and companies in the AI sector.
Towards the...2021-02-1043 min
Austrian Artificial Intelligence PodcastIntroductionWelcome to the Austrian AI Podcast!
I am your host, Manuel Pasieka and I am excited to share with you on this Podcast
my passion for Artificial Intelligence, Machine Learning and Data Science.
I will bring onto the show, experts from academia and privat industry, hobbyists
from none profit organisations, and decision makers in public institutions to talk
with them about the possibilities and potential of AI in Austria.
I hope you will join me for this journey, and you are as excited about it as I am.2021-02-0701 min