## 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 product Oscar stories, they identified issues with age appropriate language and gender bias in current ...
May 24, 2025•53 min•Season 4Ep. 67
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 Transformers. The VAE is used to create high dimensional embeddings that represent the users preferences tha...
Apr 18, 2025•52 min•Season 4Ep. 66
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, like agent based modelling can be used to study past and future social groups. We talk about his most...
Feb 11, 2025•1 hr 5 min•Season 4Ep. 65
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://discord.gg/5Pj446VKNU ## TOC 00:00:05 Intro 00:01:52 Part 1 - Small Language Models 00:20:16 Part 2 - Agen...
Dec 31, 2024•59 min•Season 2Ep. 64
## 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 lar...
Nov 19, 2024•51 min•Season 2Ep. 63
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.ai. Extensity.ai as a company follows an open core model, building an open source framework which is ...
Oct 29, 2024•1 hr 15 min•Season 2Ep. 62
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 plant decease spreads within a field. We will discuss how the diversity im biology and agriculture ...
Oct 03, 2024•1 hr 26 min•Season 2Ep. 61
## 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 cap...
Aug 28, 2024•53 min•Season 2Ep. 60
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 system that uses a frozen hierarchical feature extractor to build a memory database out of the labeled training da...
Aug 07, 2024•1 hr 6 min•Season 2Ep. 59
## 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 i...
Jul 16, 2024•1 hr•Season 2Ep. 58
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 focus on quantization. Quantization tries to reduce model size by finding ways to represent the model in numeri...
Jun 25, 2024•47 min•Season 2Ep. 57
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 billions of parameters can run on a simple laptop or even an embedded device, than this episode is for yo...
Jun 07, 2024•52 min•Season 2Ep. 56
## 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 Jo...
Apr 15, 2024•1 hr 11 min•Season 2Ep. 55
# 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 s...
Mar 25, 2024•1 hr 5 min•Season 3Ep. 54
## 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....
Mar 04, 2024•58 min•Season 3Ep. 53
# 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 th...
Feb 13, 2024•47 min•Season 3Ep. 52
## 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...
Jan 19, 2024•58 min•Season 3Ep. 51
# 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? We...
Dec 27, 2023•50 min•Season 2Ep. 44
## 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 bui...
Dec 26, 2023•1 hr 5 min•Season 2Ep. 50
## 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, previous experiences. Withou...
Dec 05, 2023•57 min•Season 2Ep. 49
# 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 person...
Nov 07, 2023•47 min•Season 2Ep. 48
Today on the show I am talking to Michael Trimmel, head of AI at HalloSofia about his journey as an entrepreneur, building AI Startups. This episode will be most valuable to people that interested in creating an AI startup or at the beginning of this journey. Michael will tell his personal startup story, describing his troubles and learnings on the way. Its particular important to him to highlighting that one can get into AI without having a traditional computer science background. We will be ta...
Sep 20, 2023•53 min•Season 2Ep. 47
# 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 i...
Aug 29, 2023•58 min•Season 2Ep. 46
# 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. Martin will ex...
Aug 09, 2023•54 min•Season 2Ep. 45
# 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 st...
Jun 28, 2023•46 min•Season 2Ep. 43
# 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...
Jun 01, 2023•1 hr 5 min•Season 2Ep. 42
# 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 ...
May 11, 2023•1 hr 2 min•Season 2Ep. 41
# 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 follow...
Apr 23, 2023•54 min•Season 2Ep. 40
# 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 follow...
Apr 20, 2023•49 min•Season 2Ep. 39
# 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 follo...
Apr 18, 2023•33 min•Season 2Ep. 38
