Finnish Center for Artificial Intelligence FCAI
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Finnish Center for Artificial Intelligence FCAI (Suomen tekoälykeskus) is a community of experts that brings together top talents in academia, industry and public sector to solve real-life problems using both existing and novel AI. FCAI is one of the Research Council of Finland Finnish flagships, hubs of top-level research and impact.
Latest episodes
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58 min
ELLIS Distinguished Lecture: Hatice Gunes
Hatice Gunes (University of Cambridge): Fairness for Affective and Wellbeing Computing Systems and Agents. Presented on February 17, 2026, at the University of Oulu and online. Tal…
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46 min
ELLIS Distinguished Lecture: Matthew E. Taylor
ELLIS Distinguished Lecture at ELLIS Unit Helsinki Matthew E. Taylor (University of Alberta): Human and agent cooperative learning Read more: https://fcai.fi/calendar/2023/6/5/elli…
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43 min
Daniel Schmidt: Fundamental limitations of foundational time series forecasting models
Speaker: Daniel Schmidt is an Associate Professor of Computer Science at the Department of Data Science and AI, Monash University, Australia. He obtained his PhD in the area of inf…
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44 min
François-Xavier Briol: Robust and Conjugate Gaussian Processes Regression
Abstract: To enable closed form conditioning, a common assumption in Gaussian process (GP) regression is independent and identically distributed Gaussian observation noise. This st…
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14 min
AI and Drones_FCAI 08042025_Ville Kyrki_Aalto University
During the past few years, the use of drones for various purposes has increased significantly. The integration of artificial intelligence into drone technology adds a new dimension…
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1 h 32
Empirical design of Experiments with AI, FCAI, Webinar 28.11.2024
Novel AI solutions for design of experiments are expected to emerge in topics such as industrial R&D laboratory, pharma, chemical industry, forest industry and metallurgical indust…
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19 min
Empirical design of experiments with AI, FCAI, 28.11.2024, Arto Klami, UH
Novel AI solutions for design of experiments are expected to emerge in topics such as industrial R&D laboratory, pharma, chemical industry, forest industry and metallurgical indust…
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14 min
Empirical design of experiments with AI, FCAI, 28.11.2024, Søren Furbo, Novo Nordisk
Novel AI solutions for design of experiments are expected to emerge in topics such as industrial R&D laboratory, pharma, chemical industry, forest industry and metallurgical indust…
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25 min
Empirical design of experiments with AI, FCAI, 28.11.2024, Morten Bormann Nielsen, DTI
Novel AI solutions for design of experiments are expected to emerge in topics such as industrial R&D laboratory, pharma, chemical industry, forest industry and metallurgical indust…
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6 min
Empirical design of experiments with AI, FCAI, 28.11.2024, Mikko Mäkelä, VTT
Introduction to FCAI and to the webinar Empirical design of experiments with AI.
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46 min
Grigorios Tsoumakas: Neural Abstractive Summarization
Abstract: This talk reviews past and recent work of our team on the topic of neural abstractive summarization. We will first present our divide-and-conquer approach for dealing wit…
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47 min
Toni Karvonen: Probabilistic Richardson Extrapolation
Abstract: Richardson extrapolation is a classical technique to accelerate the rate of convergence of a numerical method. For example, Romberg's method uses Richardson extrapolation…
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1 h 04
Yoshua Bengio: Understanding and mitigating loss of control
Professor Yoshua Bengio (University of Montreal) keynote at the ELLIS Community Event in Helsinki, June 28 2024.Introduction: Professor Volker Tresp, LMU Munich and Munich Center f…
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1 h 04
Neil Lawrence: The Atomic Human - Understanding Ourselves in the Age of AI
Professor Neil Lawrence (University of Cambridge) keynote at the ELLIS Community Event in Helsinki, June 27, 2024.Event page: https://www.elise-ai.eu/events/register-now-for-the-el…
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1 h 36
ELISE panel and workshop: AI, ELLIS, and the European Public
Speakers:Neil Lawrence (University of Cambridge) Bernhard Schölkopf (Max Planck Institute for Intelligent Systems, ELLIS Institute Tübingen) Petri Myllymäki (University of Helsinki…
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1 h 23
Bernhard Schölkopf: On open problems of (European) AI
Professor Bernhard Schölkopf (Max Planck Institute for Intelligent Systems and ELLIS Institute Tübingen) keynote at the ELLIS Community Event in Helsinki, June 27 2024.Event page:…
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17 min
AI for Mental Health FCAI 23 5 2024 Hanna Renvall HUS BioMag Laboratory
This presentation is part of the webinar AI for Mental Health that explored innovative ways in which AI is being integrated into mental health research, diagnosis, and treatment. H…
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2 h 01
Tekoäly ja terveysdata (Tiedekulma 29.4.2024)
Meistä kaikista kerätään paljon terveystietoa rekistereihin ja potilastietoihin ja mittaamme myös itse itseämme. Mihin ja miten näitä tietoja käytetään? Voiko tekoälyllä löytää par…
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48 min
Mikko Koivisto: Bayesian inference of causal graphs: where we are and where we should go
Abstract: Causal discovery aims at inferring cause–effect relationships between variables from observational data. Recently, there has been notable progress in Bayesian inference o…
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18 min
Sustainable AI Solutions FCAI 16 4 2024 Fabrice Saffre VTT
Current AI and machine learning systems are complex and require a lot of data and energy to operate. Energy efficiency and optimization are key factors in reaching higher level of…