AI Day 2022 program
Program structure
08:30 Registration opens
09:15 Opening of the event
09:30 Scientific talks (two parallel tracks in Kaleva and Lumituuli halls)
10:30 Coffee break
11:00 Scientific talks and Industry & society talks (two parallel tracks in Kaleva and Lumituuli halls )
12:00 Lunch
13:00 Scientific talks and Industry & society talks (two parallel tracks in Kaleva and Lumituuli halls)
14:30 Poster session and coffee break (Capitolium and Sief halls)
15:30 Panel: Solving global challenges with AI (Kaleva hall)
17:00 Drinks and networking
18:00 End of the event
Detailed program
8:30
Registration opens
Registration desk is located in the Gala hall / Juhla-aula (1st floor). The sessions take place in the Kaleva hall (2nd floor) and in the Lumituuli auditorium (1st floor). The posters are located and coffee and food is served in the joint Sief-Capitolium hall (2nd floor).
9:15-9:30
@ Kaleva
Opening of the AI Day 2022
9:30-10:30
Scientific track 1
@ Kaleva
Chair: Pekka Marttinen, Aalto University
Usman Muhammad - Self-supervised 2D face presentation attack detection via temporal sequence sampling
Keith Davis - Brain-Supervised Image Editing
Raúl Vázquez - A Closer Look at Parameter Contributions When Training Neural Language and Translation Models
Denys Iablonskyi - Artificial Intelligence for Acoustic Levitation
Scientific track 2
@ Lumituuli
Chair: Arto Klami, University of Helsinki
Sahar Salimpour - Self-Calibrating Anomaly and Change Detection for Autonomous Inspection Robots
Kevin Sebastian Luck - Co-Imitation: Learning Design and Behaviour by Imitation
Eloi Moliner - Enhancing old music recordings using deep learning
Robin Welsch - The Placebo Effect of Artificial Intelligence in Human-Computer Interaction
10:30–11:00
@ Sief and Capitolium
coffee break
11:00–12:00
Scientific track 1
@ Kaleva
Chair: Tapio Pahikkala, University of Turku
Henglin Shi - Multi-scale 3D Shift Graph Convolution Network for Emotion Recognition from Human Actions
Lalli Myllyaho - Node co-activations as a means of error detection—Towards fault-tolerant neural networks
Blerta Lindqvist - A Novel Method for Function Smoothness in Neural Networks
Mhairi Dunion - Temporal Disentanglement of Representations for Improved Generalisation in Reinforcement Learning
Scientific track 2
@ Lumituuli
Chair: Jussi Rintanen, Aalto University
Mika Viljanen - Safety by simulation
Ville Vakkuri - ECCOLA — A method for implementing ethically aligned AI systems
Industry Track
@ Lumituuli
Chair: Heikki Ailisto, VTT
Samuel Kaski (FCAI) and Peter Sarlin (Silo AI) - Scientific or Societal Impact
Arto Klami (FCAI) and Julius Sipilä (Orion) - Virtual laboratories in pharmaceutical R&D
12:00-13:00
@ Sief and Capitolium
Lunch
13:00–
14:30
Scientific Track 1
@ Kaleva
Chair: Kary Främling, Aalto University
Severi Rissanen - Generative Modelling with Inverse Heat Dissipation
Martin Andraud - A Hardware Perspective to Evaluating Probabilistic Circuits
Ameet Gadekar - Clustering with Fair-Center Representation: Parameterized Approximation Algorithms and Heuristics
Julien Martinelli - Robust Multi-fidelity Bayesian Optimization
Tapio Pahikkala - Generalized vec trick for fast learning of pairwise kernel models
Sam Spilsbury - Compositional Generalization in Grounded Language Learning via Induced Model Sparsity
Industry track
@ Lumituuli
Chair: Heikki Ailisto, VTT
Hugo Gävert (DAIN Studios) - Creating business value with AI
Discussion with Heikki Ailisto, Arto Klami, Sami Kaski
Tommi Vilkamo (RELEX) - AI in retail – inside story of a quintuple unicorn
Antti Remes & Joonas Starasti (Metso Outotec) - AI in minerals and metals Industry
Antti Keurulainen (Bitville) - Towards cooperative AI and AI-assisted teaching
Miika Koskinen (HUS) - Clinical real-world data and next-generation healthcare research
14:30–15:30
@ Sief and Capitolium
Poster session and Coffee @ Capitolium and SieF
During the poster session you have a possibility to meet with the presenters. The posters are hosted during this time, but can be visited already starting from the lunch.
15:30–17:00
@ Kaleva
PAnel: Solving global challenges
Chair: Petri Myllymäki, University of Helsinki
Short pitches from the panelists are followed by a panel discussion.
Fabrice Saffre: AI for Nature: Environmental Monitoring and Protection without Humans
Laura Ruotsalainen: AI to Reach Mars
Pekka Marttinen: Machine Learning for Healthcare Resource Allocation
Pertti Saariluoma: Ethical AI in Changing Everyday Life
Michael Bennett: Ownership of Intellectual Property Rights in AI-generated Creations
Nicolaus Henke: Using RL to Engineer the World's Fastest Sail Boat