20 April 2023 17:30-20:00Slagthuset - Foo Café

About the event

This is a hybrid event which means it takes place at Foo Café in Malmö and Online. 

  • To attend in Malmö, you must sign up via Foo Café - click here!
  • To join online without signing up - click here!

Artificial Intelligence and Machine Learning are buzzwords of the last few years. But it has been a very long road to get here - depending on how we count, at least from the fifties. Fast-forward, and we can today offer you various insights from around the industry.

Join us for an evening of sharing our different experiences with AI.

Photo byAmanda DalbjörnonUnsplash
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Photo byHitesh ChoudharyonUnsplash
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Speakers

Kerstin Johnsson
AI expert at Softhouse

Facilitator for the evening


Kerstin Johnsson

Kerstin Johnsson - has worked with deep learning software development for many years, for example with AI-assisted prostate cancer assessments and fingerprint authentication. She is a consultant at Softhouse Consulting, where she also develops their Applied AI capabilities.

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Kobra (Farzaneh) Etminani
Senior Lecturer T Halmstad University

Opportunities and challenges of Large Language Models within healthcare

Large Language models (LLMs) have emerged enormously recently, and everyone is talking about threats that come with them, for example, ChatGPT. In this talk, I will shortly explain how LLMs are trained. Many have addressed the challenges with them, and I will mention them and the opportunities they can bring within the healthcare domain.

Kobra (Farzaneh) Etminani

Kobra (Farzaneh) Etminani - is an Associate Professor, Docent, working at the Center for Applied Intelligent Systems Research (CAISR), Halmstad University, Sweden. She is Deputy Profile Manager for CAISR Health, a KKS-funded research profile. She is also part of the extended management group for the Information Driven Care research program (IDC) at Halmstad University. She manages the Real-World Evidence (RWE) research projects together with Health Data Center (HDC), which includes several research projects together with Region Halland (a regional Swedish healthcare system), analytics companies, and big Pharma. She has worked on various topics and application areas within Machine Learning (ML), Artificial Intelligence (AI), Data Mining, and Deep Learning (DL) in the last decade focused on healthcare, district heating, and mobility. Her main research interest is solving real-world problems focused on a healthier society, with the help of AI and ML, if possible and applicable.

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Olof Bengtsson
AI/ML developer at Softhouse

Classifying Topics in Swedish Podcasts using LLMs

The podcast industry is constantly growing and many people listen to podcasts on a weekly and even a daily basis. Despite the popularity of the field, producers and content creators have access to far fewer tools for analyzing their work compared to traditional broadcast mediums, such as television and radio. One such tool could be to collect episode metadata and compare to listener behavior. In this presentation I will describe how GPT-3 was used to classify the topics covered as well as determine the sentiment in podcast episodes.

Olof Bengtsson

Olof Bengtsson - tog examen 2022 med maskinintelligens som specialisering, där han introducerades till många nya tekniker inom maskininlärning. I sin masteruppsats tränade han en modell för att klassificera ämnen som tas upp i en podcast, vilket han till slut implementerade som en REST API-tjänst. Andra projekt inkluderar avvikelsedetektering i tidsseriedata för energiförbrukning.

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Micael Gustafsson & Petronella Melén

Experiences from the demand side using digital health care as an example

Using LLM and AI in digital health is one of the ways to solve the huge demand for health care that we can see in front of us. But is it the solutions we have waited for? Micael and Petronella will elaborate on todays trends within digital health, how LLM can play a role for better health care and how to use AI and LLM for solving an existing problem - the lack of resources within mental health treatment.

Micael Gustafsson & Petronella Melén

Micael Gustafsson - has been in the start up community in Malmo since 2007. With a mixed background from both tech and marketing he has founded several companies within media and digital health. Today he works as a portfolio manager for Dendera Venture in Malmö, but is also active in Cross Solutions in Lund and Learning to Sleep in Malmö.

Petronella Melén - is a serial entrepreneur and has been working with digital health since 2017. She is the founder of Progress Me - a digital tool for people with eating disorder - and also Head of sales at Learning to Sleep - a digital sleep clinic for people with severe sleep disorder.

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Behruz Bozorg
AI developer

GPT by GPT / Fine Tuning a pre-trained Language Model

Nowadays LLMs are very trendy. Most of the successful language models are implemented and trained by giants in the field, e.g Google, OpenAI, and Microsoft. Is there any room for small companies to efficiently train and use LLM's for their very specific tasks? I showcase such an effort and the challenges you can expect when training your very own LLM.

Behruz Bozorg

specialization is in computational biology and he is experienced in mathematical/computational modeling and different optimization techniques. At the moment his main focus is machine learning and deep learning. Due to his background, he is experienced in algorithm/software development. C++, Python and MATLAB have been the main tools in most of his projects, though he is also familiar with data analysis, database technologies and SQL.

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The practical stuff

Date: 20 April 2023
Time: 17:30 - 20:00
Venue: Foo Cafe Malmö (Sign up)
Language: English

All presentations will be live-streamed on YouTube, so anyone can watch them without signup. Join here

View the event on Foo Café

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The Agenda

17.30 - 17.45 – Meet & Greet

17.45 - 17.50 – Welcome - Introduction first speaker

17.50 - 18.02 – Presentation 1

18.02 - 18.05 – Intro second speaker

18.05 - 18.17 – Presentation 2

18.17 - 18.20 – Intro third speaker

18.20 - 18.32 – Presentation 3

18.32 - 18.35 – Intro forth speaker

18.35 - 18.47 – Presentation 4

18.47 - 18.50 – Short summary 

18.50 - 19.20 – Meet & Eat

19.20 - 19.25 – Divide attendees into discussion groups

19.25 - 19.55 – Discussion in groups

19.55 - 20.00 – Thank you note

Organized by

Softhouse
akademi@softhouse.se

We are digital software professionals who help you with expert knowledge in software development, app development, BI and cloud solutions - always with agile principles at the core.

Foo Café
michael.tiberg@foocafe.org

Our vision is to provide an independent, neutral and open space for sharing knowledge between individuals and companies to help drive the future of the IT industry. Currently we run Foo Café in both Stockholm and Malmö.