POSTPONED

Workshop on Natural Language Understanding and Language Grounding

AIX Forum

Porthania P674

Yliopistonkatu 3

University of Helsinki

Workshop on Natural Language Understanding and Language Grounding (NLULG)

The goal of this workshop is to bring together researchers who are interested in learning meaning representations from multimodal and multilingual signals to improve language understanding in natural settings. We welcome contributions from the speech processing community, NLP research and people working with computer vision.

Time: Due to the spread of the corona virus we decided to postpone the workshop! A new date is not yet set but keep an eye on this page or our mailing list for further updates. Our apologies for the inconveniences caused!
Venue: University of Helsinki, Porthania P674, Yliopistonkatu 3

The workshops is part of the AIX Forum series and is organized under the umbrella of the FCAI SIG in language, speech and cognition.

Confirmed keynotes include:

• Lucia Specia, Imperial College, London

• Raquel Fernández, University of Amsterdam

• Ákos Kádár, Samsung AI, Toronto

• Grzegorz Chrupała, Tilburg University

The event is free of charge but registration is compulsory. Please fill in the online registration form. Registration deadline: April 9, 2020. For detailed program, please see the link below.

14.4.2020

Fundamental limits of learning in deep neural networks

Distinguished Lecturer talk

CS Building, T2

Konemiehentie 2

Aalto University

Distinguished lecturer Prof. Helmut Bölcskei, ETH Zurich:

Fundamental limits of learning in deep neural networks

Date: Tue April 14, 2020
Time: 13:15
Location: Lecture Hall T2, CS Building, Konemiehentie 2, Aalto

Abstract: We develop a theory that allows to characterize the fundamental limits of learning in deep neural networks. Concretely, we consider Kolmogorov-optimal approximation through deep neural networks with the guiding theme being a relation between the epsilon-entropy of the hypothesis class to be learned and the complexity of the approximating network in terms of connectivity and memory requirements for storing the network topology and the quantized weights and biases. The theory we develop educes remarkable universality properties of deep networks. Specifically, deep networks can Kolmogorov-optimally learn essentially any hypothesis class. In addition, we find that deep networks provide exponential approximation accuracy—i.e., the approximation error decays exponentially in the number of non-zero weights in the network—of widely different functions including the multiplication operation, polynomials, sinusoidal functions, general smooth functions, and even one-dimensional oscillatory textures and fractal functions such as the Weierstrass function, both of which do not have any known methods achieving exponential approximation accuracy. We also show that in the approximation of sufficiently smooth functions finite-width deep networks require strictly smaller connectivity than finite-depth wide networks. We conclude with an outlook on the further role our theory could play.

If you wish to meet with the speaker or have any questions regarding his talk, please contact his host Prof. Visa Koivunen, SPA/ELEC, (visa.koivunen at aalto.fi)

1.4.2020

Examining the future of work on mind, brain, and AI from around Helsinki

BrAIn seminar 2

Tiedekulma

University of Helsinki

BrAIn seminar 2: Examining the future of work on mind, brain, and AI from around Helsinki

Time: 13:00–15:00, April 1, 2020
Venue: Tiedekulma

Artificial Intelligence (AI) is becoming influential throughout technological society, from transport to healthcare, civil engineering to personal electronics. But, what kind of intelligence does our AI possess? 

AI pioneer Judea Pearl has said that the state of the art is just very sophisticated fitting of curves to data. This is a long way from intelligent machines we would wish to have: Artificial cognitive systems that support human cognition, and extend thinking beyond human limitations -- in short, human-compatible AI. In order to chart a course towards AI with true intelligence, an AI that is relatable and can be asked to understand us, its users, we must study brain and AI together. The talks in this seminar discuss how this can be done and where it will lead, ranging from anticipated empirical breakthroughs in neural bases of cognition, to the limitations and promises of biologically-inspired learning algorithms, and even to futurism. 

Schedule (each speaker 20 minutes):

• Riitta Salmelin: Towards individual fingerprints of brain function

• Jörg Tiedemann: From language technology to artificial consciousness - Where is the intelligence, and what’s language got to do with it?

• Jami Pekkanen: What does machine learning have to do with human learning?

• Anna-Mari Rusanen: On Adversarial Attacks

• Michael Laakasuo: Human moral attitudes towards Mind Upload

• Panel Discussion (30–40 minutes): Human language, algorithmic language, and intelligence

The event is free to enter and free of charge.

25.3.2020

FCAI INDUSTRY & SOCIETY WORKSHOP

DIPOLI

OTAKAARI 24

AALTO UNIVERSITY

FCAI Industry and Society Workshop

Welcome to a workshop with FCAI researchers to discuss strategic long-term visions as well as to ideate concrete mutually interesting topics for joint projects.

Time: 25 March, 2–5 PM
Venue: Dipoli, Aalto University

We focus on three tracks in the workshop: AI & Health, Industrial & Autonomous AI, AI & Language as well as AI in Society and Ethics. The topics of the tracks are wide and multiple more focused topics can be worked on during the workshop. In addition to FCAI Research representatives, all the tracks will have a professional facilitator who will ensure that the workshops follow a systematic co-creation process with defined results and plan for next steps.

18.3.2020

AI for 6G

Special Session

6G Wireless Summit 2020

Levi, Lapland

AI for 6G Special Session at 6G Wireless Summit

Time: 18 March, 3:30–5:30 PM
Venue: 6G Wireless Summit 2020, Levi, Finland

Distributed artificial intelligence solutions on the edge of the network is important research topic within the 6G development. The EdgeAI Special Interest Group, which is coordinated together with the FCAI and 6G Flagships, is delighted to present a special session on AI for 6G within the 6G Summit in Levi, Lapland. This special session highlights the current state of the art of edge-driven artificial intelligence research in Finland with invited research talks. As an international guest assistant professor Aaron Ding from TU Delft, Netherlands, shares his view to building EdgeAI solutions towards 6G era. The session ends with a panel of the speakers.

The special session is part of the 6G Summit 2020 program. Read more and register here.

2.3.2020

FCAI AIX - AIBA 2019 experiences and 2020 expectations

ICT-City Auditorium Delta

Joukahaisenkatu 3

Turku

FCAI AIX - AIBA 2019 experiences and 2020 expectations

Time: 2 March, 12.00–16.00
Venue: ICT-City Auditorium Delta, Joukahaisenkatu 3, Turku

We review the experiences of the AI Business Academy (AIBA) 2019 course and hear about the AIBA 2020 spring course. AIBA 2019 was a success with 25 participants and eight pitches at the end of the course. We have now developed the course to the next level. We here about the participants at the spring course can get their AI ideas into practice. Hear the 2019 participants company stories and the results of our AI companies’ interviews. Nearly 400 companies has been interviewed about their AI wishes and needs.

Program

12.00 Welcome, Michael Lindholm - Turku Science Park Ltd

• From where it all started and where do we want to go?

12.10 FCAI – AIX forum, Patrik Floréen - FCAI

• FCAI news

• What is Finnish Center for Artificial Intelligence?

• What are AIX Forum and FCAI SIGs?

• How to participate in FCAI activities?

13.10 AI Business Academy, Timo Vasankari - University of Turku

• Which are the gains for the universities and how can the universities help organisations in the area? 

13.30  AIBA 2019 experiences, Tomi Juhola - Inha Tehtaat Oy (Buster boats, Yamaha), Kalyan Kumar Pasumarthy - Shri Services Oy, Felix Kaukiainen - Brang Oy

• New ideas and the piloting of these requires both planning as well as resources. Three of our participants tells us about the experiences and the challenges. Learn what to consider before joining the AIBA expert group. 

14.15 Coffee break

14.40 Results from the AI interviews, Mikko Rantanen - Kaupallistajat 

• The goal has been to interview around 500 organisations in our area. The first interviews were made 2019 and more interviews January 2020. Turun Yrittäjät ry has been participating by supporting the interview work.

15.00 Älyföri the intelligent ferry project, Jakke Mäkelä, Project manager, ÄlyFörit - City of Turku

• A new autonomous ferry on the river of Turku. Who can join and which is the setup of the project?

15:20 AIBA spring 2020 launch, Sepinoud Azimi - University of Turku

• The first AIBA was a success and the second will be even better. There is room for a maximum of 15 companies / 30 persons. Join with your AI-idea and get a great deal of help to get it up and running. How do you prepare for the course and what is expected from you?

15.40 Roundup and discussions

16.00 End of the event

Registrations: https://www.lyyti.in/AIBAS2020 

Welcome!

17.2.2020

GlobaL AI TRENDS AND OPPORTUNITIES seminar

Think Corner

Yliopistonkatu 4

University of Helsinki

Global AI Trends and Opportunities Seminar

Time: 17 February, 1–3 PM
Venue: Think Corner, University of Helsinki

The leading AI researcher in Japan, Professor Yutaka Matsuo will visit Helsinki on 17th of February. We have the pleasure to invite you to our seminar held at Helsinki University’s Think Corner to hear the latest AI related topics together with some of the leading AI experts from Finland and Estonia.

Professor Matsuo works at the University of Tokyo (UT) and he’s acknowledged as one of the leading individuals in the global AI research. He serves as the President of Japan Deep Learning Association (JDLA), and is a member of the board of directors at SoftBank Group Corp. 

 Professor Matsuo will bring with him a delegation of AI focused university students and the President of the first publicly listed AI company in Japan, Dr. Uenoyama from PKSHA technology.

The event is arranged by NordicNinja VC in cooperation with FAIA and FCAI.

6.2.2020

AIX Forum on Intelligent Machines

Rakennustalo

Korkeakoulunkatu 5

Tampere

AIX Forum on Intelligent Machines takes place in Tampere on 6 February. In the event companies and OEM's pitch their AI challenges, and a panel of top Finnish professors compete to solve them. The event is co-organized with AI Hub Tampere and RAAS.

Program:

Welcome coffee and networking

13.15 Presentation of AI Hub

13.30 Presentation of FCAI

13.45 Presentation of RAAS

14:00 Company pitches of a current unsolved AI related challenge (5 x 10 min).

15:00 Panel discussion: questions from anyone in the audience + a selected group of FCAI + TAU profs. Moderated by Heikki Huttunen (TAU) and Ville Kyrki (FCAI).

Networking

3.2.2020

Kick-off workshop of the FCAI Highlight D: Intelligent Urban Environment

Exactum B119

Pietari Kalmin katu 5

University of Helsinki

We will organise a kick-off workshop for the FCAI Highlight D: Intelligent Urban Environment in Exactum B119 (Pietari Kalmin katu 5, Helsinki) on 3 February 2020 at 13:00–16:00.

Please register to the event by 20 January 2020 via https://forms.gle/DBtxLMPasPp42hSQ8 

The purpose of the workshop is to find common interests between AI researchers and those interested in urban environment (researchers in universities and research institutes, companies, data owners, public actors etc.). The objective of the workshop is to identify common themes where we could work together towards common objectives, hopefully leading to new collaborations and projects that would not be possible by any of us alone.

This highlight is one of the core activities of the Finnish Center for Artificial Intelligence FCAI. The purpose of this highlight is to combine cutting-edge AI research, such as done within FCAI, with applications to the environment especially in (but not strictly limited to) urban context. An activity is in the scope of this highlight if it combines the research in AI (such as  modelling, interactive AI, and simulator-based inference) with applications to modelling and understanding of the urban environments. In other words, this workshop is for you if you are an AI researcher who is interested in applications of AI to the (urban) environment, or if your work and/or interests relate to the urban environment and you are interested in bringing the AI into your domain. 

We will send more information about the event for the participant during January 2020. You can find up-to-date information of this workshop and other Highlight D topics here.

28.1.2020

AI IN MATERIALS SCIENCE WORKSHOP

Aalto University

The Finnish Center for Artificial Intelligence (FCAI) hosts the AI in Materials Science workshop on 28 January 2020 at 9 am – 12 pm. The workshop explores the possibilities of AI-assisted materials science and design and welcomes new researchers from Aalto University, University of Helsinki, and VTT to join the FCAI research community.

The program starts with six presentations introducing research examples on AI-assisted materials research. The presentations are followed by a kick-off meeting of the FCAI Highlight E AI-driven design of materials.

Read more and register to the event following the link below.

21.1.2020

Data Science in Society

Think Corner (Yliopistonkatu 4)

University of Helsinki

We are pleased to invite you to Data Science in Society event organised by HiDATA and the Centre for So­cial Data Science! Come and hear how we aim to increase knowledge about the society with data science.This event is being organised in collaboration with the Finnish Center for Artificial Intelligence FCAI.

Time: January 21 (Tuesday), 2020 at 9.00–11.00
Venue: Tiedekulma - Think Corner (Yliopistonkatu 4)

• How can data science methods be used in planning better social and health services?

• What kind of data do social media provide nowadays and how can we make use of it?

• What kind of new services could we create with the help of data science?

• How can data science support evidence-based decision-making for the government, organizations and private companies?

• What kind of ethical challenges machine learning and artificial intelligence developers are facing and how are they being handled?

Come and find out! Meet the top researchers from the University of Helsinki centres of Data Science HiDATA and Social Data Science CSDS. The discussion will be moderated by Deputy Mayor of Helsinki City Pia Pakarinen.

Program:

Opening words and Introduction of HiDATA (Director Sasu Tarkoma)

Introduction of CSDS (Director Krista Lagus)

Työelämätieto: how data science and open knowledge support decision-making (Riku Louhimo, TTL, Finnish Institute of Occupational Health)

Keynote (Aaro Viertiö, Kela, the Social Insurance Institution of Finland)

Introduction of panelists and panel discussion (moderator Deputy Mayor of Helsinki City Pia Pakarinen)

Panelists:
Krista Lagus Professor of Digital Social Science and Director of CSDS, University of Helsinki
Jukka K. Nurminen Professor, HiDATA, Software Systems for Data-Intensive Computing, University of Helsinki
Kimmo Vehkalahti Senior Lecturer of Applied Statistics, CSDS, University of Helsinki
Petri Ylikoski, Professor (Science and Technology Studies), Department of Social Research/Sociology, University of Helsinki. Coordinating professor, AI in Society, Finnish Center for Artificial Intelligence FCAI.

Panel discussion:  Better data, better society?

The event is free of charge and open to the public. Due to a limited number of seats please sign up NOW.

15.1.2020

brAIn Seminar

AIX Forum

Tiedekulma

Univesity of Helsinki

First brAIn Seminar takes place at Tiedekulma in January 15, 2020. We will share perspectives and discuss the science of mind, brain, and AI from around Helsinki.

Time: 13:00–15:30, 15.01.2020
Venue: Tiedekulma, Yliopistonkatu, Helsinki

----

Artificial Intelligence (AI) is becoming influential throughout technological society, from transport to healthcare, civil engineering to personal electronics. But, what kind of intelligence does our AI possess?

AI pioneer Judea Pearl has said that the state of the art is just very sophisticated fitting of curves to data. This is a long way from intelligent machines we would wish to have: Artificial cognitive systems that support human cognition, and extend thinking beyond human limitations -- in short, human-compatible AI. In order to chart a course towards AI with true intelligence, an AI that is relatable and can be asked to understand us, its users, we must study brain and AI together. The talks in this seminar show how this can involve study of the brain using AI methods; study of AI as a cognitive science; and study of the interaction of brain and AI.

----

Local groups working on these topics in an interdisciplinary way will present their recent and ongoing projects, aiming to explore the areas of overlap and possible future collaboration.

Schedule:

• Lauri Parkkonen: Decoding attention states from MEG with convolutional neural networks

• Marijn van Vliet: Boosting machine learning for EEG by incorporating prior information

• Otto Lappi: Predictive Processing and Naturalistic Task Performance

• Tuukka Ruotsalo: Brain Computer Interfaces

• Jussi Jokinen: Emotional appraisal and reinforcement learning

• Antti Oulasvirta: Computational rationality: Adaptation of behavior as utility-maximization under uncertainty. A new look at an old problem in cognitive science

• PANEL DISCUSSION: shared (scientific) problems and potential solutions

Coffee and catering will be provided.

The event is free to enter and free of charge, but registration is requested in order to plan for catering.

https://elomake.helsinki.fi/lomakkeet/102601/lomake.html

For further information, please contact: ben.cowley@helsinki.fi

26.11.2019

AI Day 2019

Dipoli

Otakaari 24

Aalto university

AI Day brings together researchers, companies, students and the public sector involved in the fast-developing field of AI. The event promotes matchmaking, information sharing and cross-border collaboration. Come to learn about the latest developments in AI research and to share your research results or challenging problems that needs solving using AI. There is plenty of time for dialog so that you'll leave the event with new insight on the topics of interest to you.

Time: 26 November 2019 at 9 am
Venue: Dipoli, Otaniemi, Espoo

Registration to the event is now open and you can submit your research contributions until 31 October. Please follow the event website for more upcoming information.

27.11.2019

AIX Forum

Tekoäly ja julkishallinto

Porthania, lh IV

University of Helsinki

FCAI and The Finnish Government Shared Services Centre for Finance and HR (Palkeet) co-organize AIX Forum on AI and public administration on 27 November 2019. The event is organiszd in Finnish.

AIX Forum – Tekoäly ja julkishallinto

Aika: 27.11.2019, 13:00–16:00
Paikka: Porthania, luentosali IV (Suomen Laki)

Suomen tekoälykeskus (Finnish Center for Artificial Intelligence, FCAI) on tekoälyn osaamiskeskus, jonka Aalto-yliopisto, Helsingin yliopisto ja VTT ovat perustaneet. FCAI on yksi Suomen Akatemian tukemista kuudesta lippulaivasta. FCAI järjestää sarjan tilaisuuksia, joissa keskustellaan tekoälyn soveltamisesta eri aloilla (AIX = AI + ala X). Tässä tilaisuudessa X = julkishallinto (valtio, kunnat) ja se järjestetään yhteistyössä valtionhallinnon AI-verkoston kanssa.

Julkishallinnossa on käynnissä ja suunnitteilla useita kehittämishankkeita tekoälyn hyödyntämiseksi. Näkökulmia on ainakin kaksi: (a) parempien palvelujen tarjoaminen kansalaisille, yrityksille ja yhteisöille ja (b) hallinnon tehostaminen, eli sisäisten prosessien kehittäminen. Tässä tilaisuudessa tekoälytutkijat ja hallinnon edustajat kokoontuvat jakamaan tietoa, kokemuksia ja uusia ideoita.

Ohjelma:

13.00–13.10 Tilaisuuden avaus (Petri Myllymäki, FCAI ja Helena Lappalainen, Palkeet)
13.10–14.00 Lyhyitä esityksiä tekoälyn soveltamisesta julkishallinnossa, mm. suomenkielinen NLP, puhe tekstiksi, lomakkeiden automaattinen luokittelu.
14.00–15.00 Keskustelu esitetyistä ideoista (paneeli ja yleisökeskustelu)
15.00–16.00 Verkostoituminen (tarjoilu)

Tilaisuus on suomenkielinen. Ilmoittautuminen viimeistään 20.11. seuraavan linkin kautta: https://link.webropolsurveys.com/S/8FBF5323116CED5C

Tervetuloa!

4.11.2019

AIX Forum

Economics and Causal Reasoning

Palaver, Dipoli

Otakaari 24

Aalto University

FCAI & Helsinki GSE jointly organise:

AIX Forum: Economics and Causal Reasoning

Location: Dipoli, room Palaver
Time: Monday 4.11.2019, 15:00-19:00

Discovering causal mechanisms that explain observed properties and behaviours in both nature and human societies is a central goal in natural sciences, economics, and many other fields of study. 

Finnish Center for Artificial Intelligence (FCAI) and Helsinki Graduate School of Economics (Helsinki GSE) invite you to a joint informal seminar on causal reasoning that introduces, contrasts and compares two prominent schools of thought on this difficult topic: Pearl’s causal (do) calculus, used widely in natural sciences, and the Potential Outcomes model of Rubin, used widely in economics.

The program consists of jargon-free introductions to both models, followed by example cases of local research that makes use of them.

Speakers:

• Antti Hyttinen (University of Helsinki): Pearl's Approach to Causality 

• Tuomas Pekkarinen (VATT Institute for Economic Research): Design-based Approach to Causal Inference in Economics

• Timo Koski (KTH, Sweden): Causality in Continuous Time Bayesian Network Models 

• Matti Sarvimäki (Aalto University): RDD in Action - The Impact of an Integration Policy

• Jukka Corander (University of Oslo, University of Helsinki): Context-specific Causal Models

• Otto Toivanen (Aalto University): Links between Structural and Reduced Form Analysis - An Example on Effects of R&D Subsidies

The seminar will conclude with informal free time with snacks and wine to facilitate exploration of the connections and questions that come up during the talks. We ask you to please register for the event using this link:  https://link.webropolsurveys.com/Participation/Public/15f54b7d-2870-4c7a-b684-1e056752bff5?displayId=Fin1858092

 Organising committee (alphabetical): Jukka Corander, Patrik Floréen, Jaakko Lehtinen, Marko Terviö, Otto Toivanen

Welcome!

1.11.2019

AIX Forum

AI Maritime and Health

SparkUp

Tykistökatu 4B

Turku

AI Maritime and Health with FCAI visit

FCAI (Finnish Center for AI) mission is to create real AI for real people – a new type of AI, which is able to operate with human in the complex world – and to renew the Finnish industry with the new AI.

Come and meet FCAI as well as AI experts from the region.

We have reserved themed tables and drinks after the seminars. These makes it possible for you to team up with different experts and projects.

Program:

11:00  Welcome and lunch at Sparkup
Pizza and salads for the registered

11:45  AI in South Western Finland 
Michael Lindholm – Turku Science Park Oy

12:00  FCAI presentation
The Finnish Center for Artificial Intelligence is a national competence center in AI initiated by Aalto University, University of Helsinki and VTT. FCAI is also one of the 30 AI DIHs (Digital Innovation Hubs).

Petri Myllymäki – FCAI, Vice-Director
Patrik Floréen – FCAI, Manager for National Collaboration and External Relations

12:45  Health technology overview 
One of the area’s DIH’s is the Health DIH. What projects are emerging in this field and what are the future topics.
Janne Lahtiranta – Turku Science Park Oy

Auria Clinical Informatics ACI provides both research as a service (RaaS) and secure data analysis platform (DAP) service for data-driven real world analysis studies
Arho Virkki – CEO Auria Clinical Informatics

13:30  Coffee break 
Health breakout for coffee at meeting room Silo

13:50  Maritime
Awake.AI – AI in maritime
What is happening, which are the hottest topics in this field
Jussi Poikonen – AI manager Awake.AI

14:30  Round up and group meetings Maritime breakout for discussions in meeting room Silo
Meet people around different topics. Discuss the topics and find cooperation possibilities.
– AI and space data
– FCAI
– AI Business Academy
– Maritime
– Health and Auria Clinical informatics

The day is free of charge thanks to the support of our South Western Finland AI network project.

The event is part of FCAI’s new multidisciplinary seminar series – AIX Forum. AIX Forum events provide a possibility to network with people applying AI in their specific domain, working in similar problems in some other domain, or actively developing new AI tools and methods that may be applied in these domains. Read more about AIX Forum here.

21.10.2019

FCAI Community event

T2, CS Builiding

Konemiehentie 2

Aalto University

Join the front-runner research in artificial intelligence – come to the FCAI Flagship Community Event

Have you ever wondered how to harness the power of artificial intelligence to benefit your own research?
Do you wish to collaborate and create something new and exciting with top AI researchers?
Do you want to know more about the flagship program of Academy of Finland?

FCAI organizes a community event on 21 October 2019 to share what we do and to welcome new researchers from Aalto University, University of Helsinki, and VTT to join the FCAI community. We invite AI researchers as well as researchers from different fields to join the event!

Time: 21 October, 9–11am
Venue: T2, CS building, Aalto University

Register to Community Event by 16 October to hear more!

Program (subject to minor changes)

9:00: Coffee

9:15–9:45: Finnish Center for Artificial Intelligence: excellence in research and impact (FCAI Director Samuel Kaski)

9:45–10:00: FCAI Special Interest Groups and AIX Forum (FCAI Vice-director Petri Myllymäki)

10:00–11:00: Poster session: FCAI Research Programs and Highlights

FCAI Research Programs and coordinating professors 
R1: Agile probabilistic AI, Aki Vehtari
R2: Simulator-based inference, Jukka Corander
R3: Next-generation data-efficient deep learning, Harri Valpola and Alexander Ilin
R4: Privacy-preserving and secure AI, Antti Honkela
R5: Interactive AI, Antti Oulasvirta
R6: Autonomous AI, Ville Kyrki
R7: AI in society, Petri Ylikoski 

FCAI Highlights and coordinating professors
A: Easy and privacy-preserving modeling tools, Arto Klami
B: AI-driven health, Pekka Marttinen
C: Intelligent service assistant for people in Finland, Tommi Mikkonen
D: Intelligent urban environment, Kai Puolamäki
E: AI-driven design of materials, Patrick Rinke

FCAI is both a research organization with a sharp research and impact agenda and an open ecosystem of researchers, companies, and public organizations gathered around a common goal. FCAI is creating a new type of artificial intelligence that can operate with humans in the real world – and that can help Finnish industry and society to realize its full AI potential. FCAI is an Academy of Finland flagship, which is a status only granted to six centers of excellence of high quality and high societal impact.

14.–16.10.2019

European Big Data Value Forum

SCANDIC MARINA CONGRESS CENTER

Helsinki

The European Big Data Value Forum (EBDVF) is the annual central event of the European Big Data and AI communities. This year it will take place on October 14–16 in Helsinki. EBDVF 19 is organized by the Big Data Value Association (BDVA) in collaboration with the European Commission and VTT as the local organizer. The event is an official side event of the Finnish EU presidency.

Highly distinguished speakers give their views on the transformative power of AI and Big Data. As an example, in a high-level panel, industrial and research top leaders discuss over the topic ”Does Europe have a Future in AI?“

Speakers include Minister of Economic Affairs in Finland Katri Kulmuni, Risto Siilasmaa (Chair, Nokia Corporation), Roberto Viola (DG, DG Connect, European Commission), Norbert Gaus (Executive Vice President, Siemens), Antti Vasara (President and CEO, VTT), and Oded Cohn (Vice President, IBM Research, Haifa). 

7.10.2019

Machine Learning Coffee Seminar

T6, CS building

Aalto University

During the fall season 2019 Machine Learning Coffee Seminar delves into FCAI research by introducing our current research programs. The next FCAI-themed seminar session will take place on in Aalto University on October 7, 2019 featuring

Aki Vehtari (Associate Professor in computational probabilistic modeling, Aalto University): FCAI Agile Probabilistic AI

We will serve porridge and coffee at 9:00am and the talk will begin at 9:15am.

30.9.2019

Machine Learning Coffee Seminar

D122, Exactum

University of Helsinki

The next Machine learning coffee seminar session will take place on in University of Helsinki on September 30 featuring

Jukka K. Nurminen (Professor of Computer Science, University of Helsinki): Engineering and testing of AI systems

We will serve porridge and coffee at 9:00am and the talk will begin at 9:15am.

23.9.2019

Machine Learning Coffee Seminar

T6, CS building

Aalto University

During the fall season 2019 Machine Learning Coffee Seminar delves into FCAI research by introducing our current research programs. The next FCAI-themed seminar session will take place on in Aalto University on September 23, 2019 featuring

Petri Ylikoski (Professor of Sociology, University of Helsinki): Introducing the AI in Society Program of FCAI

and

Raul Hakli (University Lecturer, Practical Philosophy, University of Helsinki): Can AI be responsible?

We will serve porridge and coffee at 9:00am and the talk will begin at 9:15am.

18.9.2019

Erkki Oja 2019 IEEE Frank Rosenblatt Award lecture

Forty years of unsupervised machine learning

T1, CS Building

Konemiehentie 2

Aalto University

FCAI is proud to host Erkki Oja’s IEEE Frank Rosenblatt Award Lecture on neural networks on 18 September at 3pm.

The lecture is free of charge and open to everyone. The lecture will be followed by an informal cocktail event. For catering purposes, we ask you to register by 13 September.

Erkki Oja (Distinguished Professor emeritus, Aalto University)
IEEE Frank Rosenblatt Award Lecture: Forty Years of Unsupervised Machine Learning

Unsupervised learning is a classical approach in artificial neural networks, pattern recognition and data analysis. Its importance is growing today, due to the increasing data volumes and the difficulty of obtaining labelled training data of sufficient quantity and quality,  that could be used for supervised learning. The talk looks at the basic approaches during the past forty years, especially from the perspective of learning neurons and neural networks.  A widely used methodology are linear latent variable models, such as principal component analysis, independent component analysis, and nonnegative matrix factorizations. They can be implemented in one-layer neural networks or shallow autoencoders.  Mathematically, they can be represented as decompositions of the data matrix containing the unlabeled samples. In deep learning, nonlinear latent variables can be found by deep autoencoders. Another widely used classical methodology is clustering, which also has a relation to matrix factorizations. In self-organizing maps, the clusters are ordered in a specific way. 

Erkki Oja received the D.Sc. degree from Helsinki University of Technology in 1977. He is Past Director of the Computational Inference Research Centre and Distinguished Professor Emeritus of Computer Science and Engineering at the Department of Computer Science, Aalto University, Finland.  He holds an honorary doctorate from Uppsala University, Sweden, as well as from two Finnish universities. He has been research associate at Brown University, Providence, RI, and visiting professor at the Tokyo Institute of Technology, Japan, and the Universite Pantheon-Sorbonne, France.  He is the author or coauthor of more than 300 articles and book chapters on pattern recognition, computer vision, and neural computing, and three books: "Subspace Methods of Pattern Recognition" (Research Studies Press and Wiley, 1983), which has been translated into Chinese and Japanese; "Kohonen Maps" (Elsevier, 1999), and "Independent Component Analysis" (Wiley, 2001; also translated into Chinese and Japanese). His research interests are in the study of neural networks and unsupervised machine learning, especially principal component and independent component analysis, self-organization, statistical pattern recognition, and applying machine learning to computer vision and signal processing. Much of this work is highly cited.  

Prof. Oja is a member of the Finnish Academy of Sciences, Finnish Academy of Technical Sciences, the Academia Europaea, Life Fellow of the IEEE, Founding Fellow of the International Association of Pattern Recognition (IAPR), Past President of the European Neural Network Society (ENNS), and Fellow of the International Neural Network Society (INNS).  He is Past Chairman of the Finnish Research Council for Natural Sciences and Engineering and Commander of the Order of Lion of Finland. He is a member or past-member of the editorial boards of several journals and has been in the program committees of several recent conferences. Prof. Oja is a recipient of the IEEE Computational Intelligence Society Neural Networks Pioneer Award, the IAPR P. Devijver Award, the INNS Hebb Award, and the IEEE Frank Rosenblatt Award.  

The IEEE Frank Rosenblatt Award, established in 2004, is given for outstanding contributions to biologically and linguistically motivated computational paradigms and systems. The 2019 Award was given to Erkki Oja for his contributions to neural networks and unsupervised learning. Previous recipients of the Award include many pioneers of neural network research, including John Hopfield, Terrence Sejnowski, Teuvo Kohonen and Geoffrey Hinton (one of the recent recipients of the Turing Award).

9.9.2019

Machine Learning Coffee Seminar

T6, CS building

Aalto University

The new season of the popular Machine Learning Coffee Seminar series is back after the summer break!

The first session of the fall 2019 will take place on in Aalto University on September 9, 2019 featuring

Jari Saarinen (CEO and Founder of GIM Ltd, CTO and founder of Sensible 4): Intelligent Mobile Robots

We will serve porridge and coffee at 9:00am and the talk will begin at 9:15am.

Welcome to hear about the latest development in machine learning research while enjoying your breakfast in great the company of fellow researchers!

4.9.2019

AIX Forum

AI and Traffic

Bank auditorium

Unioninkatu 22

Helsinki

FCAI is proud to present a new multidisciplinary seminar series – AIX Forum. AIX Forum events provide a possibility to network with people applying AI in their specific domain, working in similar problems in some other domain, or actively developing new AI tools and methods that may be applied in these domains.

The first AIX Forum is organised together with The Traffic Research Unit (TRU, cognitive science, University of Helsinki). The seminar AI and Traffic will take place on the 4th of September, from 3pm to 6pm.

The event will focus on a multidisciplinary perspective on the AI trajectories in traffic in the future. The aims will be to find promising research questions in the field of smart traffic technologies, to posit fruitful research problems as well as to take a broader societal perspective to traffic. We hope the event will be great opportunity for inter-disciplinary dialogue and networking.The event is primarily directed at traffic, traffic design and safety, autonomous vehicle, traffic infrastructure and traffic education researchers, and other researchers interseted in these fields.

Program:

3pm–4pm: The algorithms of traffic. Traffic researchers present current research in their field.
4pm–5pm: Traffic in 2050. Panel discussion. Researchers from different disciplines discuss the effect of smart technologies on traffic.
5pm–6pm: Wine and networking.

Registration: The number of participants is limited, so please make sure you can make it to the event before registering. Register by the 25th August using the following link.

AI Across Fields (AIX): Traffic

For more information: Santeri Räisänen (FCAI): santeri.raisanen at helsinki.fi
Anna-Mari Rusanen (cognitive science, UH): anna-mari.rusanen at helsinki.fi

24.6.2019

AI Monday

Helsinki Central Library Oodi

Töölönlahdenkatu 4

AI Monday is a monthly networking event for those who are interested in AI. The aim is to share AI-knowledge and encourage organisations to initiate their change journeys.

Next AI Monday takes place 16:30–19:00 on June 24 in Helsinki Central Library Oodi.

List of speakers include:

• Frédérique Bouchard  Advisor, Government Relations at Element AI, Canada

• Otto Nyberg  Director of Research, Giosg 

• Henri Terho  AI Architect, Qentinel

• … and a short summary of the learnings from 80 AI Monday presentations from the first two years of the #AIMonday journey

Please register here.

17.6.2019

Machine Learning Coffee Seminar

D122, Exactum

University of Helsinki

Next Machine Learning Coffee Seminar takes place on June 17 at 9am in the University of Helsinki. 

Dorota Glowacka (Professor of Computer Science, University of Helsinki): Generating Captions for Search Results with Lexical and Semantic Features

We will serve porridge and coffee at 9:00am and the talk will begin at 9:15am.

20.5.2019

Machine Learning Coffee Seminar

D122, Exactum

University of Helsinki

Next Machine Learning Coffee Seminar takes place on May 20 at 9am in the University of Helsinki. 

Nikolaj Tatti (Professor of Computer Science, University of Helsinki): Efficient estimation of AUC in a sliding window

We will serve porridge and coffee at 9:00am and the talk will begin at 9:15am.

15.5.2019

Health Talks

Luncheon on Health-Sector Applications of AI

Aalto Health Technology House (Otakaari 3)

Aalto University

Aalto Health Eat & Meet, Health Talks and the Finnish Center for Artificial Intelligence FCAI jointly invite you to a Presentation Luncheon on health-sector applications of artificial intelligence that can have substantial business potential

Time: Wednesday 15 May 2019, 12:00–13:00
Venue: Aalto Health Technology House, Otakaari 3, Espoo; the lobby’s Co-working Space

Please register via Webropol by Friday 10 May.

13.5.2019

Machine Learning Coffee Seminar

T6, CS building

Aalto University

Next Machine Learning Coffee Seminar takes place on May 13 at 9am in Aalto University. 

Jari Järvi (Doctoral candidate of applied physics, Aalto University): Detecting Stable Surface Adsorbates with Bayesian Optimization

We will serve porridge and coffee at 9:00am and the talk will begin at 9:15am.

6.5.2019

Machine Learning Coffee Seminar

D122, Exactum

University of Helsinki

Next Machine Learning Coffee Seminar takes place on May 6 at 9am in the University of Helsinki. 

Gregor Hillers (Professor of Seismology, University of Helsinki): The 2018 Otaniemi/Espoo Geothermal Stimulation Experiment: Challenges of Standard And Opportunities for Novel Data Analysis Techniques

We will serve porridge and coffee at 9:00am and the talk will begin at 9:15am.

29.4.2019

Machine Learning Coffee Seminar

T5, CS building

Aalto University

Next Machine Learning Coffee Seminar takes place on April 29 at 9am in Aalto University. 

Roman Yangarber (Professor of Computer Science, University of Helsinki): AI approaches to support language learning

We will serve porridge and coffee at 9:00am and the talk will begin at 9:15am.

15.4.2019–15.6.2019

Machine learning with Python

Online course

Interested in machine learning? Learn how to deal with Python!

Machine learning with Python 2 ECTS – Apply now!

Online course to Machine Learning with Python programming language. Course is organised by the Finnish Institute of Technology.

15.4.2019

AI Monday

Helsinki Central Library Oodi

Töölönlahdenkatu 4

AI Monday is a monthly networking event for those who are interested in AI. The aim is to share AI-knowledge and encourage organisations to initiate their change journeys.

Next AI Monday takes place 16:30–19:00 on April 15 in Helsinki Central Library Oodi.

List of speakers include:

• Piia-Noora Kauppi, Finanssiala

• Taneli Tikka, Valtion Kehittämiskeskus – Vake

• Ana Kolar, Tarastats

• Sari Siikasalmi, iloom.io

Please register here.

15.4.2019

Machine Learning Coffee Seminar

T5, CS building

Aalto University

Next Machine Learning Coffee Seminar takes place on April 15 at 9am in Aalto University. 

Enrico Di Minin (Research Fellow in Conservation and Sustainability Science, University of Helsinki): Investigating Illegal Wildlife Trade From Social Media and Other Digital Platforms

We will serve porridge and coffee at 9:00am and the talk will begin at 9:15am.

NOTE: Due to some maintenance service running on T6, this week we will have our seminar in T5.

8.4.2019

Machine Learning Coffee Seminar

D122, Exactum

University of Helsinki

Next Machine Learning Coffee Seminar takes place on April 8 at 9am in University of Helsinki.

Jussi Rintanen (Professor of Computer Science, Aalto University): Deploying A.I.

We will serve porridge and coffee at 9:00am and the talk will begin at 9:15am.

1.4.2019

Machine Learning Coffee Seminar

T6, CS building

Aalto University

Next Machine Learning Coffee Seminar takes place on April 1 at 9am in Aalto University. 

Ville Kyrki (Professor of Electrical Engineering and Automation, Aalto University): Simulation-Based Learning for Robots

We will serve porridge and coffee at 9:00am and the talk will begin at 9:15am.

20.3.2019

FCAI Research Day

T1, CS Building

Aalto University

FCAI will organize its first FCAI Research Day on 20 March 2019 at 9–11 (T1, CS building, Konemiehentie 2, Aalto University). This will provide a good opportunity to learn more closely about FCAI research agenda and to discuss common research interests and ways to contribute to FCAI research programs.

Program

Click each title to access respective slides. You can watch a recording of the first hour of the meeting here.

9.00–9.05 Opening, FCAI Administrative Manager Patrik Floréen

9.05–9.30 FCAI: What&How, FCAI Director Samuel Kaski

9.30–9.35 FCAI: Role of VTT, Research Professor Caj Södergård, VTT

9.35–10.00 FCAI Research Programs: 5 minutes pitch for each of the 5 initial Research Programs, Coordinating Professors

10.00–11.00 Discussion groups

R1 Agile Probabilistic AI, chair: A. Vehtari (room: Library lobby)
R2 Simulator-based Inference, chair: J.Corander (room: T4)
R3 Next-generation Data-efficient Deep Learning, chair: H. Valpola (room T2)
R4 Privacy-preserving and Secure AI, chair: A. Honkela (room: T5)
R5 Interactive AI, chair: A.Oulasvirta (room: T1)

All researchers from Aalto, UH and VTT interested in advancing the FCAI research agenda are welcome to join.

If you are interested in joining the FCAI Community, you can fill in the membership application here: https://fcai.fi/join-fcai-community  

18.3.2019

AI Monday

Helsinki Central Library Oodi

Töölönlahdenkatu 4

AI Monday is a monthly networking event for those who are interested in AI. The aim is to share AI-knowledge and encourage organisations to initiate their change journeys.

Next AI Monday takes place 16:30–19:00 on March 18 in Helsinki Central Library Oodi

List of speakers include:

• Katri Harra-Salonen  Finnair

• Antti Hahto, Cybercom

• Ville-Pekka Inkilä, Yliaisti

• and a video-AI-update from Singapore

Please register here.

18.3.2019

Machine Learning Coffee Seminar

T6, CS building

Aalto University

Next Machine Learning Coffee Seminar takes place on 18 March at 9am in Aalto University. 

Mikko Tolonen (Professor of Digital Humanities, University of Helsinki): Data Science and Computational History: Opportunities for Collaboration

We will serve porridge and coffee at 9:00am and the talk will begin at 9:15am.

15.3.2019

Helsinki Distinguished Lecture Series

Stefano Ceri

P674, Porthania

Yliopistonkatu 3

University of Helsinki

The next lecture in the Helsinki Distinguished Lecture Series on Future Information Technology will be given by Professor Stefano Ceri from Politecnico di Milano.

Stefano Ceri: Data-Driven Genomic Computing: Making Sense of the Signals from the Genome

Time: Friday 15 March at 3pm–4pm
Venue: Lecture hall P674, Porthania, University of Helsinki, Yliopistonkatu 3, Helsinki

The lecture is free of charge and open to everyone interested in the latest research in information technology. The lecture will be followed by an informal cocktail event.

Please register here.

11.3.2019

Machine Learning Coffee Seminar

D122, Exactum

University of Helsinki

Next Machine Learning Coffee Seminar takes place on 11 March at 9am in University of Helsinki.

Mikko Kurimo (Professor of Speech and Language Processing, Aalto University): Recent Advances in Aalto ASR Group

We will serve porridge and coffee at 9:00am and the talk will begin at 9:15am.

8.3.2019

Global WiDS Conference 2019

Helsinki Chapter

Lecture Hall 1, Biomedicum Helsinki

Haartmaninkatu 8

The Global Women in Data Science (WiDS) Conference (widsconference.org) aims to inspire and educate data scientists worldwide, regardless of gender, and support women in the field. This annual one-day technical conference provides an opportunity to hear about the latest data science related research and applications in a broad set of domains.

WiDS Helsinki 2019, the regional event will be happening in Meilahti, Helsinki. Those interested in Data Science are invited to participate in the conference, irrespective of the gender, which features exclusively female speakers.

Time: Friday, March 8, 2019, 9:00 AM–6:00 PM
Venue: Lecture Hall 1, Biomedicum Helsinki, Haartmaninkatu 8, Helsinki

4.3.2019

Machine Learning Coffee Seminar

T6, CS building

Aalto University

Next Machine Learning Coffee Seminar takes place on 4 March at 9am in Aalto University. 

Mark van Gils (Research Professor, VTT Technical Research Center of Finland): Machine Learning for Clinical Decision Support – How To Make It Work

We will serve porridge and coffee at 9:00am and the talk will begin at 9:15am.

25.2.2019

Machine Learning Coffee Seminar

D122, Exactum

University of Helsinki

Next Machine Learning Coffee Seminar takes place on 25 February at 9am in University of Helsinki.

Panagiotis Papapetrou (Professor of Computer Science, Stockholm University): Learning From Electronic Health Records: From Temporal Abstractions to Time Series Interpretability

We will serve porridge and coffee at 9:00am and the talk will begin at 9:15am.

18.2.2019

Machine Learning Coffee Seminar

T6, CS building

Aalto University

Next Machine Learning Coffee Seminar takes place on 18 February at 9am in Aalto University. 

Laura Ruotsalainen (Professor of Navigation and Positioning, Finnish Geospatial Research Institute): Securing Pedestrians in Autonomous Traffic Ecosystems of Smart Cities

We will serve porridge and coffee at 9:00am and the talk will begin at 9:15am.

11.2.2019

AI Monday

Helsinki Central Library Oodi

Töölönlahdenkatu 4

AI Monday is a monthly networking event for those who are interested in AI. The aim is to share AI-knowledge and encourage organisations to initiate their change journeys.

Next AI Monday takes place 16:30–19:00 on January 14 in Helsinki Central Library Oodi

List of speakers include:

• Viivi Nuorti / Senior Associate at KPMG

• Olli Kuusisto / Senior Scientist at VTT

• Kaisa Helminen / CEO at Aiforia Technologies

• Manne Laukkanen / CEO and co-founder at Smart Data Hub

Registration to February AI Monday opens on Sunday 3rd of Feb on here   

11.2.2019

Machine Learning Coffee Seminar

D122, Exactum

University of Helsinki

Next Machine Learning Coffee Seminar takes place on 11 February at 9am in University of Helsinki.

Samuli Siltanen (Professor of Industrial Mathematics, University of Helsinki): Machine Learning For Tomography

We will serve porridge and coffee at 9:00am and the talk will begin at 9:15am.

4.2.2019

Machine Learning Coffee Seminar

T6, CS building

Aalto University

Next Machine Learning Coffee Seminar takes place on 4 February at 9am in Aalto University. 

Samuel Kaski (Professor of Computer Science, Aalto University): Probabilistic modelling with the experts

We will serve porridge and coffee at 9:00am and the talk will begin at 9:15am.

28.1.2019

Machine Learning Coffee Seminar

D122, Exactum

University of Helsinki

Next Machine Learning Coffee Seminar takes place on 28 January at 9am in University of Helsinki.

Antti Oulasvirta (Professor of Computer Science, Aalto University): Gray Box Models for Controllable and Transparent Interactive AI

We will serve porridge and coffee at 9:00am and the talk will begin at 9:15am.

21.1.2018

Machine Learning Coffee Seminar

T6, CS building

Aalto University

Next Machine Learning Coffee Seminar takes place on 21 January at 9am in Aalto University. 

Giulio Jacucci (Professor of Computer Science, University of Helsinki): Can Physiological Signals be used for Implicit Interaction with Information?

We will serve porridge and coffee at 9:00am and the talk will begin at 9:15am.

16.1.2019

Helsinki Distinguished Lecture Series

Tommi Jaakkola

LH AS2, TUAS building

Aalto University

The next lecture in the Helsinki Distinguished Lecture Series on Future Information Technology will be given by Professor Tommi Jaakkola from Massachusetts Institute of Technology.

Tommi Jaakkola: Modeling with Machine Learning: Challenges and Some Solutions

Time: Wednesday 16 January at 3pm–5pm
Venue: Lecture hall AS2, TUAS Building, Aalto University, Maarintie 8, Espoo

The lecture is free of charge and open to everyone interested in the latest research in information technology. The lecture will be followed by an informal cocktail event.

Please register here.

14.1.2019

AI Monday

Helsinki Central Library Oodi

Töölönlahdenkatu 4

Helsinki Center

AI Monday is a monthly networking event for those who are interested in AI. The aim is to share AI-knowledge and encourage organisations to initiate their change journeys.

Next AI Monday takes place 16:30–19:00 on January 14 in Helsinki Central Library Oodi

• What?   Networking, two crisp presentations, one AI-demo.

• To whom?   AI curious people, change leaders, businesses with passion for data and disruption.

• For me? Contacts, knowledge, change tools, ideas.

• On-line? Yes. Tekniikka&Talous streams live presentations 17-18. 

• Off-line? Yes. Presentation videos can be found on T&T pages and in the archive.

Registration to the event opens on Monday 7 January.

14.1.2019

Machine Learning Coffee Seminar

D122, Exactum

University of Helsinki

Next Machine Learning Coffee Seminar takes place on 14 January at 9am in University of Helsinki.

Sampsa Hautaniemi (Professor of System Biology, University of Helsinki): Machine learning in cancer research and oncology

We will serve porridge and coffee at 9:00am and the talk will begin at 9:15am.

9.1.2019

Guest Lecture

Mark Girolami

LH AS2, TUAS building

Aalto University

Professor Mark Girolami from Imperial College London will give a public presentation at the department of Computer Science.

Mark Girolami: Probabilistic Numerical Computation: a Role for Machine Learning in Numerical Analysis?

Time: Wednesday 9 January at 12:15pm–1:30pm
Venue: Lecture hall AS2, TUAS Building, Aalto University, Maarintie 8, Espoo

The lecture is free of charge and open to everyone.

17.12.2018

Machine Learning Coffee Seminar

T6, CS Building

Konemiehentie 2

Aalto University

Next Machine Learning Coffee Seminar takes place on 17 December at 9am in Aalto University. 

Wray Buntine (Professor of Information Technology, Monash University): Something Old, Something New, Something Borrowed, Something Blue

We will serve porridge and coffee at 9:00am and the talk will begin at 9:15am.

12.12.2018

AI Day

Dipoli

Otakaari 24

Aalto University 

The Artificial Intelligence Day 2018 (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.

The current, top-level AI research and education in Finland will be displayed during our whole-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 and demo 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 and to meet with students. Get a head start for your organization and meet the people at the leading edge of AI research.

Please follow the event website for more upcoming information: www.fcai.fi/ai-day-2018.

10.12.2018

Machine Learning Coffee Seminar

Exactum D122

University of Helsinki

Next Machine Learning Coffee Seminar takes place on 10 December at 9am in University of Helsinki. 

Guoying Zhao (Professor of Computer Science and Engineering, University of Oulu): Towards Emotion AI

We will serve porridge and coffee at 9:00am and the talk will begin at 9:15am.

26.11.2018

Machine Learning Coffee Seminar

T5, CS building

Konemiehentie 2

Aalto University

Next Machine Learning Coffee Seminar takes place on 26 November at 9am in Aalto University. 

Jaakko Peltonen (Professor of Statistics, University of Tampere): Exploring Large And Hierarchical Online Discussion Venues With Probabilistic Models

We will serve porridge and coffee at 9:00am and the talk will begin at 9:15am.

19.11.2018

Machine Learning Coffee Seminar

D122, Exactum

University of Helsinki

Next Machine Learning Coffee Seminar takes place on 19 November at 9am in University of Helsinki. 

Sasu Tarkoma (Professor of Computer Science, University of Helsinki): MegaSense: Scalable Air Pollution Sensing in Megacities

We will serve porridge and coffee at 9:00am and the talk will begin at 9:15am.

24.9.2018

Helsinki
Distinguished Lecture Series

Mahadev
Satyanarayanan

Small Hall, Main building

Fabianinkatu 33

University of Helsinki

Welcome to the next lecture of the new high level lecture series on Monday 24 September, 2018 at 3:15 pm at Small Hall, Main Building, University of Helsinki, Fabianinkatu 33, Helsinki.

Helsinki Distinguished Lecture Series on Future Information Technology continues with an invited lecture from Mahadev Satyanarayanan (Carnegie Mellon University), entitled

Using Edge Computing for Privacy in Real-Time Video Analytics

The event is free of charge and open to all interested in the leading research in information technology. Please register asap and latest by Monday 17th September.

The lecture will be followed by cocktails.

The lecture series will continue. See details from HIIT webpages. 

23.4.2018

Machine Learning Coffee Seminar

University of Helsinki

D122, Exactum

Next Machine Learning Coffee Seminar takes place on 23 April in University of Helsinki.

Deep Learning Spectroscopy: Neural Networks for Molecular Excitation Spectra

Speaker: Patrick Rinke, Professor of Physics, Aalto University

FCAI is also proud to present a series of minisymposia on leading trends in Finnish AI research in conjunction with the weekly Machine Learning Coffee Seminars. Read more on the FCAI minisymposia here.

27.2.2018

Helsinki Distinguished Lecture Series

on Future Information Technology

University of Helsinki
Fabianinkatu 33, Small Hall

Machine Learning Systems: On-device AI and beyond

Speaker: Nic Lane, Associate Professor in the Computer Science Department at the University of Oxford.

Tuesday 27 Feb 3.15pm–4.30pm at the University of Helsinki. 

The Helsinki Distinguished Lecture Series on Future Information Technology is organized by HIIT, a joint research institute between University of Helsinki and Aalto University. The series was launched in 2012. The focus of the seminar series is to highlight the research challenges and solutions faced by current and future information technology, as seen by the internationally leading experts in the field.

26.2.2018

MACHINE LeARNING COFFEE

Aalto University
Konemiehentie 2, T5
 

Bayesian Deep Learning for Image Data

Speaker: Melih Kandemir, Professor of Computer Science at Özyeğin University.

Monday 26 Feb 9am–10am at Aalto University.

Machine Learning Coffee seminars are weekly seminars held jointly by the Aalto University and the University of Helsinki. The seminars aim to gather people from different fields of science with interest in machine learning. Seminars will be held weekly on Mondays at 9am–10am. The location alternates between Aalto University and the University of Helsinki.

15.2.2018

AIHELSINKI

Vallila-sali (Metropol), Hietaniemenkatu 14

The next AIHelsinki session is on 15th February 2018.

AI Helsinki is a series of public lectures on topics touching artificial intelligence organised by AI researchers and technologists.

Speakers at the 15 Feb session:

Heikki Huttunen, Tampere University of Technology
Deploying Machine Learning for Heavy Industry
Tero Karras, NVIDIA
Progressive Growing of Gans

12.2.2018

AI MONDAY

Maarintie 6, Espoo

The next AI Monday will be again at the Open Innovation House in the Aalto University campus in Otaniemi 12 February at 5 PM. 

Speakers:

Antti Merilehto presenting the new book AI Guide to Leaders

Juha Sulkakoski (from Upseller and Ultimate AI): Sales boosting with AI 

Both will give a 9-minute presentation after which a group interview will follow. The event will be streamed live by the weekly Tekniikka & Talous and you'll find the clips afterwards here.

Please, register in advance at AI Monday website.

AI Monday is a monthly networking event for those who are interested in AI. The aim is to share AI-knowledge and encourage organisations to initiate their change journeys.

MACHINE LEARNING COFFEE SEMINARS

Machine Learning Coffee seminars are weekly seminars held jointly by the Aalto University and the University of Helsinki. The seminars aim to gather people from different fields of science with interest in machine learning. Seminars will be held weekly on Mondays at 9am–10am. The location alternates between Aalto University and the University of Helsinki.

Helsinki Distinguished Lecture Series on Future Information Technology

The Helsinki Distinguished Lecture Series on Future Information Technology is organized by HIIT, a joint research institute between University of Helsinki and Aalto University. The series was launched in 2012. The focus of the seminar series is to highlight the research challenges and solutions faced by current and future information technology, as seen by the internationally leading experts in the field.