Austrian Artificial Intelligence Podcast

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 erfolgreich einzusetzen. Die Krönungsdisziplien in diesem Bereich ist humanoide Robotik und ich habe die Fr...

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 oft sind viele dieser Versprechungen leer Luft, und bei der Vielzahl an Plattformen und Frameworks, die...

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 ways in which technology and Artificial Intelligence in particular, reshapes organizations—how we work...

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 abhängigkeit Europas von Amerikanischen und Chinesischen KI Modellen und der Computer Infrastruktur um d...

## 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 here to do exactly that, with their newest product LORA - a child friendly AI. Through they existing...

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 instruments and beat patterns. For this, Beat Shaper is combining Variational Auto-encoders and Transfor...

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 rise or fall, over long periods of time. He explain how modern tools from computational social science, l...

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 our discord server and ask guest directly or discuss related topics with the community. https://discor...

## 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...

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 to OpenAI, today I am talking to Marius Dinu, the CEO and co-founder of the austrian startup extensity.a...

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 remote plant phenotyping. This makes it possible to analyze plants growth, but as well how certain...

## 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...

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 and Transduction for Dense Prediction Tasks". Where he and his colleagues have developed a syst...

## 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 Qua...

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 accuracy on CPU's and in part on GPU's. In this second part of the interview, we are going to foc...

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 performance of LLM's on consumer devices. If you are curious how modern Large Language Models with their b...

## 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 n...

# 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 secu...

## 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 t...

# 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 experie...

## 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 Austria...

# 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...

## 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...

## 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 perso...

# 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 shor...