2024 2023 2022 2020 2019 2018
A Machine Learning and Data Science non-profit organisation

The 2023 Conference

GAIA Conference returned with its fifth edition on April 5, 2023. This iteration brought more guests than ever before to Svenska Mässan. We have compiled information about the speakers and their talks below. Recordings are also available on our YouTube channel.

 

Speakers

Featured
Building a Data Science Program in Higher Vocational Education
Apr 5
Building a Data Science Program in Higher Vocational Education

Kokchun Giang / Educator @ IT-Högskolan

Training and Using a Large Language Model to Write Theatrical Performances
Apr 5
Training and Using a Large Language Model to Write Theatrical Performances

Kajsa Norin / NLP Consultant @ Kajsa Norin AB

GPT-SW3: The First Large Generative Language Model for the Nordic Languages
Apr 5
GPT-SW3: The First Large Generative Language Model for the Nordic Languages

Magnus Sahlgren / Head of Research, NLU @ AI Sweden

Using AI to Preserve Privacy in Healthcare
Apr 5
Using AI to Preserve Privacy in Healthcare

Alma Lund / Machine Learning Engineer @ Mabel AI, Syntronic

Marina Delatorre / Data Scientist @ Mabel AI

Clean Architecture: How to Structure Your ML Projects to Reduce Technical Debt
Apr 5
Clean Architecture: How to Structure Your ML Projects to Reduce Technical Debt

Laszlo Sragner / Founder @ Hypergolic

Federated Machine Learning: A Scalable, Privacy-Preserving Approach Ready for Production Environments
Apr 5
Federated Machine Learning: A Scalable, Privacy-Preserving Approach Ready for Production Environments

Salman Toor / CTO @ Scaleout Systems

Navigating the Challenges of Offer Categorization in E-commerce: Strategies for Accurate and Scalable Classification
Apr 5
Navigating the Challenges of Offer Categorization in E-commerce: Strategies for Accurate and Scalable Classification

Zeeshan Dar / Senior Machine Learning Engineer @ Prisjakt

Teaching Neural Networks a Sense of Geometry
Apr 5
Teaching Neural Networks a Sense of Geometry

Jens Agerberg / ML Researcher, Data Scientist @ KTH, Ericsson

Deep Learning for Self-Driving Cars
Apr 5
Deep Learning for Self-Driving Cars

Christoffer Petersson / AI Researcher @ Zenseact

Synthetic Data for Computer Vision Problems, When Real Annotation Is Too Expensive
Apr 5
Synthetic Data for Computer Vision Problems, When Real Annotation Is Too Expensive

Abgeiba Isunza Navarro / Machine Learning Engineer @ Modulai

Cross-modal Transfer Between Vision and Language for Protest Detection
Apr 5
Cross-modal Transfer Between Vision and Language for Protest Detection

Ria Raj / Software Engineer @ Recorded Future

Kajsa Andreasson / Software Engineer @ Recorded Future

Vision-Based Activity Detection Inside the Vehicle
Apr 5
Vision-Based Activity Detection Inside the Vehicle

Mattias Ulmestrand / Technical Developer @ Smart Eye

Leveraging Open-Source Tools for Building a Quality Data Warehouse
Apr 5
Leveraging Open-Source Tools for Building a Quality Data Warehouse

Matteo Molteni / Data Engineer @ Kognic

P-Tuning: A Parameter Efficient Tuning to Boost LLM Performance
Apr 5
P-Tuning: A Parameter Efficient Tuning to Boost LLM Performance

Zenodia Charpy / Senior Data Scientist @ NVIDIA

Unlocking Hearts by Locking Models: Solving Multiple Echocardiogram Problems Using a Holistic Self-Supervised Approach
Apr 5
Unlocking Hearts by Locking Models: Solving Multiple Echocardiogram Problems Using a Holistic Self-Supervised Approach

Anders Hildeman / Senior Data Scientist @ AstraZeneca

Few-Shot Learning for Health: How Sleep Cycle Separate Multiple People’s Snoring
Apr 5
Few-Shot Learning for Health: How Sleep Cycle Separate Multiple People’s Snoring

Maria Larsson / Machine Learning Engineer @ Sleep Cycle

Generative AI: Opportunities and Effects on Society
Apr 5
Generative AI: Opportunities and Effects on Society

Aron Lagerberg / Principal NLP Investigator @ Recorded Future

An Interdisciplinary Expert Pool for Natural Language Understanding
Apr 5
An Interdisciplinary Expert Pool for Natural Language Understanding

Francisca Hoyer / Strategic Program Manager, NLU @ AI Sweden

Modelling Ecosystems with Deep Reinforcement Learning
Apr 5
Modelling Ecosystems with Deep Reinforcement Learning

Claes Strannegård / Professor @ Department of Applied IT, University of Gothenburg

Should We Teach Machine Learning Systems?
Apr 5
Should We Teach Machine Learning Systems?

Jussi Karlgren / Docent in Language Technology @ Helsinki University

Finding the Bad Guys with AI: Connecting the Dots In Data
Apr 5
Finding the Bad Guys with AI: Connecting the Dots In Data

Christian Berg / Founder @ Paliscope

Mats Kvarnström / Head of AI @ Paliscope

 

Partners