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GAIA Conference 2023

Program

The program of GAIA Conference 2023 on 5 April 2023 at Svenska Mässan in Gothenburg: 21 talks in two tracks.

Wednesday 5 April 2023

09:15–09:45 · Keynote AI Sweden GPT-SW3: The First Large Generative Language Model for the Nordic Languages Magnus Sahlgren

Main track

  1. 09:45–10:15 Paliscope Finding the Bad Guys with AI: Connecting the Dots In Data Christian Berg, Mats Kvarnström
  2. 10:30–11:00 Department of Applied IT, University of Gothenburg Modelling Ecosystems with Deep Reinforcement Learning Claes Strannegård
  3. 11:00–11:30 Sleep Cycle Few-Shot Learning for Health: How Sleep Cycle Separates Multiple People’s Snoring Maria Larsson
  4. 11:30–12:00 AstraZeneca Unlocking Hearts by Locking Models: Solving Multiple Echocardiogram Problems Using a Holistic Self-Supervised Approach Anders Hildeman
  5. 13:30–14:00 Kognic Leveraging Open-Source Tools for Building a Quality Data Warehouse Matteo Molteni
  6. 14:00–14:30 Recorded Future Cross-modal Transfer Between Vision and Language for Protest Detection Kajsa Andreasson, Ria Raj
  7. 14:30–15:00 KTH / Ericsson Teaching Neural Networks a Sense of Geometry Jens Agerberg
  8. 15:30–15:55 Prisjakt Navigating the Challenges of Offer Categorization in E-commerce: Strategies for Accurate and Scalable Classification Zeeshan Dar
  9. 15:55–16:20 Hypergolic Clean Architecture: How to Structure Your ML Projects to Reduce Technical Debt Laszlo Sragner
  10. 16:20–16:50 Kajsa Norin AB Training and Using a Large Language Model to Write Theatrical Performances Kajsa Norin

Second track

  1. 09:45–10:15 Helsinki University Should We Teach Machine Learning Systems? Jussi Karlgren
  2. 10:30–11:00 AI Sweden An Interdisciplinary Expert Pool for Natural Language Understanding Francisca Hoyer
  3. 11:00–11:30 · Panel GAIA · Recorded Future · AI Sweden · Pirr · University of Gothenburg Generative AI: Opportunities and Effects on Society Danila Petrelli, Aron Lagerberg, Francisca Hoyer, Rebecca Oskarsson, Sylvie Saget
  4. 11:30–12:00 NVIDIA P-Tuning: A Parameter Efficient Tuning to Boost LLM Performance Zenodia Charpy
  5. 13:30–14:00 Smart Eye Vision-Based Activity Detection Inside the Vehicle Mattias Ulmestrand
  6. 14:00–14:30 Modulai Synthetic Data for Computer Vision Problems, When Real Annotation Is Too Expensive Abgeiba Isunza Navarro
  7. 14:30–15:00 Zenseact Deep Learning for Self-Driving Cars Christoffer Petersson
  8. 15:30–15:55 Scaleout Systems Federated Machine Learning: A Scalable, Privacy-Preserving Approach Ready for Production Environments Salman Toor
  9. 15:55–16:20 Mabel AI / Syntronic · Mabel AI Using AI to Preserve Privacy in Healthcare Alma Lund, Marina Delatorre
  10. 16:20–16:50 IT-Högskolan Building a Data Science Program in Higher Vocational Education Kokchun Giang