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The 2020 Conference

The third conference was held online because of the pandemic on November 27, 2020. Speakers still presented at Svenska Mässan while viewers tuned in from home. We have compiled information about the speakers and their talks below on this page. Recordings are also available on our YouTube channel.

 

Speakers

Featured
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Nov 27
AI – Perspectives and Strategies

Daniel Gillblad / Head of AI Research @ RISE

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Nov 27
Better, Faster Utilizing Your GPUs for Deep Learning Workload

Zenodia Charpy / Senior Deep Learning Solution Architect @ NVIDIA

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Nov 27
Removing Computational Bottlenecks With Deep Learning

Adam Andersson / Radar Systems Engineer @ Saab Surveillance

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Nov 27
Discovering New Molecules Using Graph Neural Networks

Rocío Mercado / Postdoctoral Fellow @ AstraZeneca

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Nov 27
Learning From Data in Fundamental Physics Research

Christian Forssén / Professor in Theoretical Physics @ Chalmers

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Nov 27
Testing of Machine Learning Systems – The Importance of “Lagom” Surprising Inputs

Robert Feldt / Professor of Software Engineering @ Chalmers

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Nov 27
The Impact of Data Quality on Model Performance

Daniel Langkilde / Co-Founder @ Annotell

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Nov 27
What We Have Learned From 150 Successful ML-enabled Products at Booking.com

Pablo Estevez Castillo / Principal Data Scientist @ Booking.com

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Nov 27
Scalable Forecasting in Google Cloud

Oscar Söderlund / Chief Software Architect @ Einride

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Nov 27
Building a Feature Library for Machine Learning at iZettle

Rebecka Jacobsson / Machine Learning Lead @ iZettle

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Nov 27
Data Privacy and Fairness in Recommender Systems

Martin Tegnér / Machine Learning Researcher @ IKEA Digital

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Nov 27
Common Pitfalls when Working with Data

Carl Lindberg / Co-Founder @ Sigmastocks, Director of Strategic Data Applications @ Zenseact

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Nov 27
Social Bias and Fairness in Natural Language Processing

Olof Mogren / Machine Learning Researcher @ RISE

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Nov 27
An Introduction to Algorithmic Fairness

Thore Husfeldt / Professor of Computer Science @ Lund University