Opening of Tampere AI Hub for Intelligent Machines
PROGRAM
13:00 Dean Mika Grundström (TUT): The role of AI in the new Tampere university
13:05 Joni Kämäräinen (TUT): AI research in Tampere
13:20 Moncef Gabbouj (TUT): AI solutions for biomedical and industrial data
13:40 Heikki Huttunen (TUT): New AI research center in Tampere
14:00 Manu Setälä (Business Finland): AI Business program & network of AI centers
14:10 Antti Siren (FIMA): The need of AI in intelligent machines
14:20 Niina Siipola (Business Tampere): The role of AI ecosystem in regional development
14:30 Reza Ghabcheloo (TUT): AI for intelligent machines
15:00 Coffee and Networking
AI Hub Tampere
• Tampere University launches AI Hub Tampere—an artificial intelligence research center
• The center organizes workshops, helpdesk sessions, experimental piloting and other support for adopting artificial intelligence in local companies.
• Our principle is to make AI easy to reach, affordable and all our services are free of charge, neutral and equal for all.
• A neutral publicly funded center at your service.
AI Hub Goals
• Train engineers to implement AI• Train managers to outsource AI• Help companies discover the potential of AI• Help companies understand the limits of AI• Create ecosystem of industry and research partners• Contribute to applied research in the domains of the hub
AI Hub Components
Coordination
NETWORKING
• Building the network and marketing
• Training• Helpdesk• AI Theory
TOOLS
• AI deployment• System level• Software• Hardware
ROBOTICS
• Physical worldapplications
• Use of AI for intelligent machines
HUMAN
• Interaction of human and AI
• Collaborativerobotics
• Safety
AI Hub Partners
Pirkanmaa RegionalCouncil
Forum for IntelligentMachines
FIMA
City of Tampere
TUT
Uni Tampere
DIMECC
Business Finland
RoboCoast(Satakunta)
UEF AI HUB
(NorthernSavo)
SMACC(TUT)
AI HUBTampere
Fundingpartner
OtherHubs
Otherpartner
Forthcoming Events
• 10.12. AI Hub Opening• 13.12. Huawei AI Hackathon, day 1• 17.12. IBM University Tour hosted by AI Hub• 21.12. Huawei AI Hackathon, day 2• 10.1. First AI Hub Workshop
Sample Workshop Agenda
• 9:00 Lecture: Introduction to modern machine learning• 10:00 Lecture: Theory and traditional techniques (in Python)• 10:30 Hands-on session: Set up the laptop, define and train a classifier
with example data. Compute the accuracy of the result• 11:45 Lunch• 12:30 Lecture: Introduction to deep learning• 13:30 Hands-on session: Train a deep neural network for image data• 14:30 Lecture: Deep learning for sequential data• 15:15 Hands-on session: Train a recurrent network for audio data• 16:00 Closing
People
– PI Heikki Huttunen, Prof. TUT / Signal Processing
– Vice-PI Timo D. Hämäläinen, Prof. TUT / Perv. Comp
– Prof. Reza Ghabcheloo, TUT / Automation
– Prof. Roel Pieters, TUT / Automation
– Univ. Lecturer Aino Ahtinen, TUT / Perv. Comp.
Twitter: @AI_Hub_Tampere
Web: tampere.ai
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