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AI DAY 2018


Program

8:00–9:00

Registration and Coffee

Registration takes place in the Gala Hall (1st floor) and the sessions are in Kaleva Hall (2nd floor) and in Lumituuli auditorium (1st floor). 

Student poster exhibition of the Aalto Digital Ethics course is open already in the morning in the Partner’s lounge close by Lumituuli auditorium (1st floor). Main exhibition area is on 2nd flood close by Kaleva Hall.


9:00–9:45

KALEVA HALL


Opening

Ilkka Niemelä, President, Aalto University


Towards AI strategy in EU and Finland

Ilona Lundström, Director General, Ministry of Economic Affairs and Employment of Finland


Finnish Center for Artificial Intelligence (FCAI)

Samuel Kaski, Academy Professor, Director of FCAI, Aalto University


Overview of the Day

AI Day organising team and DigiPlatform representative


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10:00–11:30

KALEVA HALL

UNDERSTANDABILITY

Chair Antti Oulasvirta, Professor, Aalto University

Robots that Understand People

Ville Kyrki, Professor, Aalto University

Simulator-based adaptation and optimization of interfaces

Antti Oulasvirta, Professor, Aalto University

Inferring what people want

Tuukka Ruotsalo, Senior Researcher, University of Helsinki; Co-founder, Etsimo Ltd. and Etsimo Healthcare Ltd.

User and machine theory of mind

Tomi Peltola, Researcher, Aalto University

Neural Attention in Human Language Understanding

Filip Ginter, AI Scientist, Silo.AI; Professor, University of Turku

LUMITUULI

PRIVACY, SECURITY AND FAIRNESS

Chair Antti Honkela, Professor, University of Helsinki

Fairness, Causality and Machine Learning

Ricardo Silva, Professor, University College London

Security Challenges in Machine Learning: An Industry Perspective

Nidhi Singh, Research Director, Elisa Corporation

Privacy-preserving Machine Learning

Antti Honkela, Professor, University of Helsinki


11:30–13:00 LUNCH BREAK

Scientific and business exhibition on the 2nd floor.

Aalto Digital ethics course students exhibits in the Partner’s lounge close by Lumituuli auditorium on the 1st floor.

List of posters and demos to be published closer to the event.


13:00–14:30

KALEVA HALL

DATA-EFFICIENCY

Chair Alexander Ilin, Professor, Aalto University

Data efficient AI for the real world

Kalle Raita, Curious AI

CANCELLED: Why learn  something you already know? Combining simulators with learning

Jaakko Lehtinen, Professor, Aalto University

The real world of IoT and its data scarcity problem

Ilona Söchting, Senior Data Scientist, Wärtsilä

Probabilistic learning from scarce data

Arno Solin, Professor, Aalto University

LUMITUULI

SOCIETAL IMPACT OF AI

Chair Risto Nieminen, Academician of Science, Distinguished Professor (emeritus), Aalto University, President of Finnish Academy of Science and Letters

Panel:

Meeri Haataja, CEO and Co-Founder, Saidot.ai; Lead for Finland's AI Program Ethics working group, Ministry of Economic Affairs and Employment of Finland

Petri Myllymäki, Professor, Director, Helsinki Institute for Information Technology HIIT

Aki Vehtari, Professor, Aalto University

Petri Ylikoski, Professor, University of Helsinki

The Session is organised by the Finnish Academy of Science and Letters


14:30–15:00 COFFEE BREAK

Exhibition continues: Scientific and business exhibition is located on the 2nd floor and Aalto Digital ethics -course exhibits in the Partner’s lounge close by Lumituuli auditorium on the 1st floor. List of posters and demos to be published closer to the event.


15:00–16:30

KALEVA HALL

SCIENCE AND BUSINESS PITCHES

Jörg Tiedemann: What is the Meaning of Life?: I found it in translation …

Mikko Kurimo: Methods for Managing Audiovisual Data: Combining automatic efficiency with human accuracy (MeMAD)

Hugo Gärvert: #Finanssiäly Financial Intelligence Strategic AI Program

Päivi Sutinen: Espoo is cocreating model CITY AS A SERVICE for the Intelligent and Sustainable Future

Elina Jeskanen: Predicting Occupational Health Risk

Simo Särkkä: AI Methods for Neonatal Intensive Care

Siddhart Ramchandran: Latent Gaussian Process for Data-driven Disease Stratification with Composite Likelihoods

Antti Koskela: Learning Rate Adaptation for Differentially Private Stochastic Gradient Descent

Tuomas Ropponen: Aiforia – Fast Deep Learning Algorithm Development for Medical Image Analysis. Only domain expertise needed.


16:30–17:30

AALTO DIGIPLATFORM’S FREE-NETWORKING HAPPY HOUR

Exhibition continues: Scientific and business exhibition is located on the 2nd floor and Aalto Digital ethics -course exhibits in the Partner’s lounge close by Lumituuli auditorium on the 1st floor. List of posters and demos to be published closer to the event.