PODCAST · technology
Austrian Artificial Intelligence Podcast
by Manuel Pasieka
Guest Interviews, discussing the possibilities and potential of AI in Austria.Question or Suggestions, write to [email protected]
Episodes
-
71 - NeoAlp - Humanoide Robotik - Zwischen Dystopie und Euphorie
Die letzten Jahre ware von Large Language Models dominiert, und für die meisten ist GenAI immer noch der Inbegriff von Fortschritt. Andere denken schon weiter und zielen auf physical AI ab, welche sich darauf spezialisiert KI nicht nur in der digitalen sondern auch in unserere physichen Welt...
-
70. Marko Goels - sunrAI - eine KI Agenten Plattform für alle die mehr als Prozessautomatisierung wollen
KI-Agentenplattformen sind in aller Munde. Und obwohl der GenAI-Hype langsam abklingt und viele vor einer KI-Blase zittern, hoffen immer noch andere auf den großen Durchbruch durch sogenannte Agentenplattformen – Systeme, die versprechen, ganze Unternehmensbereiche zu automatisieren. Doch wie so...
-
69. Puranam Panish - Why organisations will need human centric AI to survive
In this episode, i am joined by Professor Phanish Puranam from INSEAD, one of the world’s leading thinkers on strategy and organizational design, and this year’s recipient of the prestigious Oscar Morgenstern Medal from the University of Vienna. Our conversation explores the deep and often hidden...
-
68. Markus Tretzmüller - Cortecs - Europäische LLM Infrastruktur Unabhängigkeit
Seit Anfang des Jahres gibt es in Europa einen starkes politisches Verlangen, sich von den USA unabhängig zu machen. Dies betrifft nicht nur die aktuelle militärische Abhängigkeit, sondern auch die Abhängigkeit von US tech Unternehmen. Besonders interessant für den AAIP ist natürlich die starke...
-
67. Mathias Neumayer and Dima Rubanov - Lora a child friendly AI
## Summary Large Language Models have many strengths and the frontier of what is possible and what they can be used for, is pushed back on the daily bases. One area in which current LLM's need to improve is how they communicate with children. Todays guests, Mathias Neumayer and Dima Rubanov are...
-
66. Taylor Peer - Beat Shaper - A music producers AI Copilot
Today 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...
-
65. Daniel Kondor - CSH - The long term impact of AI on society
Guest 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…
more -
64. Solo - Manuel Pasieka on the hottest LLM topics of 2024
With 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...
-
63. 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.…
more -
62. Marius-Constantin Dinu - extensity.ai - Building reliable and explainable AI Agent Systems
As 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…
more -
61. Jules Salzinger - AIT - Building explainable and generalizable AI Systems for Agriculture
Today 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...
-
60. 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…
more -
59. Philip Winter - VRVis - Continual Learning
Today 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…
more -
58. 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...
-
57. Eldar Kurtic - Efficient Inference through sparsity and quantization - Part 2/2
Hello 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...
-
56. Eldar Kurtic - Efficient Inference through sparsity and quantization - Part 1/2
Hello 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...
-
55. 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...
-
54. 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...
-
53. 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...
-
52. 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…
more -
51. 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...
-
44. 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,...
-
50. 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...
-
49. 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...
-
48. 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...
-
47. Michael Trimmel - HalloSofia - Building AI startups 101
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…
more -
46. 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...
-
45. 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…
more -
43. 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...
-
42. 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,...
-
41. 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...
-
40. 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...
-
39. 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...
-
38. 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...
-
37. 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...
-
36. 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...
-
35. 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...
-
34. 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…
more -
33. 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...
-
32. 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....
-
31. 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,...
-
30. 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...
-
29. 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…
more -
28. Moritz Feigl - Baseflow.ai: Applying Machine Learning in Hydrology
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...
-
27. 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...
-
26. Nina Popanton - DIO : Building the Data economies of the future based on European Values
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…
more -
25. Adrian Schiegl - XUND : Building a medical decision support and recommendation system
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...
-
24.2 Hamid Eghbal-zadeh - JKU : Improving out of distribution performance with robust and disentangled representations - Part 2/2
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...
-
24.1 Hamid Eghbal-zadeh - JKU : Improving out of distribution performance with robust and disentangled representations - Part 1/2
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…
more -
23. 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…
more
We're indexing this podcast's transcripts for the first time — this can take a minute or two. We'll show results as soon as they're ready.
No matches for "" in this podcast's transcripts.
No topics indexed yet for this podcast.
Loading reviews...
ABOUT THIS SHOW
Guest Interviews, discussing the possibilities and potential of AI in Austria.Question or Suggestions, write to [email protected]
HOSTED BY
Manuel Pasieka
CATEGORIES
Loading similar podcasts...
Frequently Asked Questions
How many episodes does Austrian Artificial Intelligence Podcast have?
Austrian Artificial Intelligence Podcast currently has 73 episodes available on PodParley. New episodes are automatically indexed when they're published to the podcast feed.
What is Austrian Artificial Intelligence Podcast about?
Guest Interviews, discussing the possibilities and potential of AI in Austria.Question or Suggestions, write to [email protected]
How often does Austrian Artificial Intelligence Podcast release new episodes?
Austrian Artificial Intelligence Podcast has 73 episodes. Check the episode list to see recent publication dates and frequency.
Where can I listen to Austrian Artificial Intelligence Podcast?
You can listen to Austrian Artificial Intelligence Podcast on PodParley by clicking any episode. We provide an embedded audio player for direct listening, and you can also subscribe via your preferred podcast app using the RSS feed.
Who hosts Austrian Artificial Intelligence Podcast?
Austrian Artificial Intelligence Podcast is created and hosted by Manuel Pasieka.
URL copied to clipboard!