Tue, Nov 25 · 6:30 PM CET
We’re thrilled to announce the comeback of the AI Austria Meetup event series in Innsbruck!
This marks the beginning of regular community meetups dedicated to knowledge exchange, networking, and collaboration around all things AI in Tyrol. Expect deep technical insights, inspiring talks, and an open space for everyone passionate about artificial intelligence — no matter your background.
Agenda
🕡 6:30 pm // Start of Event, Welcome
🕡 6:45 pm // 🎙 Talk 1: Hey Siri, when will you become truly useful?, Sherin Grimbergen, Cloudflight
Voice recognition and speech generation have improved dramatically in the last few years; lower latency, more robust recognition (of dialects), increasingly natural voices, etc. These advances come from specific architectural shifts. In this talk, we’ll look at the current state of the art: what technologies are driving these improvements, why they work, and where their performance breaks down in real world scenarios. Based on hands-on experience, we’ll discuss the technical bottlenecks that still limit applications. Other than customer support agents, there are still very few voice applications consistently delivering good user experience. The goal is a grounded assessment: how far are we from effective voice applications, and what would need to change for Siri and her successors to get there?
🕡 7:30 pm // 🎙 Talk 2 : Transformer–xLSTM Ensembles: Achieving 2nd Place in the 2025 PhysioNet Challenge for ECG-Based Chagas Disease Detection , Angus Nicolson, Medical University of Innsbruck
Diagnosing Chagas Disease — a condition that can lead to heart failure and arrhythmias — is crucial, and automated diagnosis from non-invasive, low-cost ECGs is a promising solution. However, there are two major machine learning challenges to overcome: a severe class imbalance (2% positive cases) and a high-level of label uncertainty from self-reported patient diagnoses. In the 2025 PhysioNet Challenge, our team from the Digital Cardiology Lab at the Medical University of Innsbruck achieved 2nd place through large-scale pretraining of multiple foundation models. We utilised the complementary strengths of Transformer models (leveraging attention mechanisms) and xLSTMs (a recurrent architecture well-suited for time-series data like ECGs). In this talk I will summarise the challenge, the problems we encountered and how we overcame them, along with some technical details of our solution.
🕡 08:15 pm // Food, Drinks & Networking
🕡 09:15 pm // end
Location : https://www.cloudflight.io/en/location/innsbruck/
Cloudflight, Bürgerstraße 1-3, 2. OG
6020 Innsbruck
Date & Time: 25.11.2025, 6:30 - 9 pm
Entrance : free
Sponsors : Cloudflight
✨ Everyone’s welcome — get ready for an evening of innovation, great people, and inspiring discussions!
Let’s shape the future of AI together — right here in Innsbruck! 🤖💡
We are looking forward to meeting you!