AI Day

2017-12-13 11:00:00 2017-12-13 17:00:00 Europe/Helsinki AI Day The Artificial Intelligence Day (AI Day) brings together researchers, companies and the public sector involved in the fast-developing field of AI. The event promotes matchmaking, information sharing and cross-border collaboration. Otakaari 24, 02150, Espoo

The Artificial Intelligence Day (AI Day) brings together researchers, companies and the public sector involved in the fast-developing field of AI. The event promotes matchmaking, information sharing and cross-border collaboration.

13.12.2017 / 11:00 - 17:00
Dipoli (Kaleva,Sief and Capitolium), Otakaari 24, 02150, Espoo, FI

The event is full!

Welcome to Dipoli on 13 December 2017!

The current, top-level AI research and education in Finland will be displayed during our half-day event.

Academics, welcome to present your results and network with potential private and  public sector partners! Companies, come tell about your problems that need solving!

We offer intriguing matchmaking opportunities for companies and the public sector – you are welcome to come and discuss how AI is changing the world and to discover new opportunities for your business. Meet the people at the leading edge of AI research and combine your efforts to get a head start for your organisation.

Demo area

In addition to research posters and demos, there will be rollup demo spaces with table (width max 1m) available for startups and companies for a small fee. Also organisations offering AI education are welcome. Please, contact Terhi Kajaste at for further information latest on 30 November.


NEW!!! Numbered list of academic contributions (pitches, demos and posters) (pdf)


11:00 Registration and coffee





Welcome and opening words
Prof. Kristiina Mäkelä, Provost, Aalto University
Prof. Esko Ukkonen, Dean of the Faculty of Science, University of Helsinki

Finnish Center for Artificial Intelligence
Prof. Samuel Kaski, Aalto University









Keynotes - chair: Prof. Kai Puolamäki

Forget about the Terminator already
Prof. Teemu Roos, University of Helsinki

Machine Learning for Complex Data Analysis
Senior Lecturer Michael U. Gutmann, University of Edinburgh

Cross Roads between Signal Processing, Pattern Recognition and Machine Learning – Towards AI^2
Prof. Moncef Gabbouj, Tampere University of Technology

Intent Modelling as Interactive Machine Learning
Prof. Giulio Jacucci, University of Helsinki



Tekes funding for AI research
Senior Advisor, Outi Keski-Äijö, Tekes – the Finnish Funding Agency for Innovation

13:30 - 14:30 Lunch
13:30 - 17:00 Demos, posters & networking

14:30 - 16:00




















Research highlights – pitch talks

Petteri Kaski, Aalto University, Delegatable and error-tolerant algorithms

Lu Cheng, Aalto University, Covariate selection in longitudinal data using Gaussian process

Baris Serim, University of Helsinki, Modeling the Human-in-the-loop: Evaluating Expert Feedback using Behavioral Data

Alexander Jung, Aalto University, Machine Learning for Big Data

Anna Kantosalo, University of Helsinki, Human-Computer Co-Creativity - a Compelling Challenge

Antti Tarvainen, The Curious AI Company, Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results

Leo Leppänen, University of Helsinki, Finding the Signal from the Noise with Natural Language Generation

Susanna Pirttikangas, University of Oulu, AI @UO -Operation Analytics+ network

Jussi Rintanen, Aalto University, Intelligent Software Synthesis –EIAI

Vishal Singh, Aalto University, Artificial Intelligence in Design and Built Environment- Aalto BIM Perspective

Jonathan Strahl, Aalto University, Exploratory Search with Visual Interactive Intent Modelling; positive and negative relevance feedback

Jörg Tiedemann, University of Helsinki, Learning to understand languages

Valeriy Vyatkin, Aalto University, AI for human adaptive, energy-efficient lighting

Keijo Heljanko, Aalto University, Big Data Platforms for Artifical Intelligence

17:00 Event ends


Kaski.jpeg Samuel Kaski is an Academy Professor at Aalto University and leads the Finnish Centre of Excellence on Computational Inference Research. He develops machine learning methods with his group and collaborators.

Teemu Roos is an Associate Professor at the Department of Computer Science, University of Helsinki. Prof Roos's research interests include the theory and applications of artificial intelligence, machine learning and data science.

Gutmann.jpeg Michael Gutmann is machine learning faculty at the School of Informatics in the University of Edinburgh. His current research interests revolve around developing efficient statistical inference methods for intractable models and applying them to challenging problems in engineering and the natural sciences.
Gabbouj.jpeg Dr. Gabbouj is a Professor of Signal Processing at the Department of Signal Processing, Tampere University of Technology. His research interests include multimedia content-based analysis, indexing and retrieval, machine learning, nonlinear signal and image processing and analysis, voice conversion, and video processing and coding.
Jacucci.jpeg Giulio Jacucci, Professor at the Department of Computer Science (University of Helsinki). His area of research is human-computer interaction and intelligent user interfaces.

Registration closed, the event is full!

  • For academic contributions (posters, demos, pitches) the registration deadline is 19 November. Due to time and space limitations, the organisers reserve the right to select the contributions, if necessary.
  • For reserving a small rollup demo space with table (width max 1m), please contact Terhi Kajaste at for further information by 30 November.
  • For other participants the registration deadline is 5 December.