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A longstanding aspiration of researchers has been to create Artificial General Intelligence (AGI), computational machines capable of performing any intellectual task that humans can undertake. Although achieving AGI remains an ongoing challenge,...

By Yuhui Gan Artificial Intelligence (AI) technologies are revolutionizing the energy management landscape, enhancing efficiency and sustainability. The accelerated growth of the hybrid and electric vehicle (EV) market is a multifaceted...

What is a time series? Many of the real world data are time series data, which comprises an important time axis. A time series data can be multivariate or uni-variate, and the time t can be continuous, such as the time series of electric signals...

A command prompt. With the advent of the language model GPT-3¹ in 2020 [1], it turns out that you don’t need to be a Data Scientist anymore to create powerful applications with Natural Language Processing (NLP). Actually, you might not even need...

Based on the intuitive meaning, generative models are responsible for creating new instances of data. Discriminative models on the other hand are responsible for discriminating or distinguishing between various kinds of instances of data. To...

In this article, I will introduce several fundamental concepts in the philosophy of AI, namely the Turing test and the Chinese room argument, which aim to provide insight into these questions. Both of these thought experiments provide us with a...

At the KTH AI Society, we aim to represent and strengthen this AI culture by building a competent community of KTH students. This includes organizing events, creating videos and articles (like this one!), and collaborating with other...

Data Engineering VS Data Science (by Terence Shin) The last years have seen the ascent of a new job title taking job boards and tech board rooms by storm. With the lofty expectations of the former sexiest job of the 21st century finally brought...

Explainable AI is what many consider the ‘ideal’ solution to this problem and, although the existing research is not quite far enough to provide us with a detailed, human readable description of a model’s process throughout inference; some of the...

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...

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,...

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...

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...