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Join the KTH AI Society Team!

Are you a student at KTH interested in AI? Then join the AI society! We're recruiting for lots of different volunteer positions 🙂! Apply here

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Using SHAP to Explain Machine Learning Models

Do you understand how your machine learning model works? Despite the ever-increasing usage of machine learning (ML) and deep learning (DL) techniques, the majority of companies say they can’t explain the decisions of their ML algorithms [1]. This...

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Representation learning — The core of machine learning

Representation learning is a key concept in machine learning, which has become tightly connected to deep neural networks in recent years. In machine learning representations are used to transform the input data to a mathematical form, which can be...

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Cultivating the next generation of AI leaders

Welcome to the KTH AI Society website! We've changed up the design a bit and changed colors ⚫️. Have a look around the site through the top menu and make sure to follow us on social media (found along the bottom footer). Register up at the top...

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Nordic-China AI Synergies Report

It is with great pleasure that we present our very first research report on the topic of Nordic-China AI Synergies! Together with NCSF, KTHAIS took the initiative to send Jacob Stubbe Østergaard (NCSF, lead author) and Alfred Wahlforss (KTHAIS,...

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What is Elements of AI?

Elements of AI is a yearly, free-of-charge mini-course organized by the KTH AI Society. It's open for anyone looking to get a better understanding of what Artificial Intelligence is and how it can be used - no technical background needed. Students...

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Partnership with McKinsey & Company

Hello, fellow KTHAISers! We are thrilled to announce our partnership with McKinsey & Company! They are now the society's main partner and will open up a new world of possibilities for us in terms of events, projects and impact. Their analytics...

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