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Transcript
VTT TECHNICAL RESEARCH CENTRE OF FINLAND LTD
AI capabilities and
development needs in
companies
FIIF Jam Session ’Artificial Intelligence’
29.3. 2017
Dr. Heli Helaakoski, Principal Scientist, VTT
29/03/2017
2
Artificial Intelligence definition?
“Artificial intelligence is that activity devoted to making
machines intelligent, and intelligence is that quality that
enables an entity to function appropriately and with foresight
in its environment.”
“Artificial intelligence is technology that appears to emulate human
performance typically by learning, coming to its own conclusions,
appearing to understand complex content, engaging in natural dialogs
with people, enhancing human cognitive performance (also known as
cognitive computing) or replacing people on execution of nonroutine
tasks.”
[1] Nils J. Nilsson, The Quest for Artificial Intelligence: A History of Ideas and Achievements (Cambridge, UK: Cambridge University Press, 2010).
[2] Gartner Ai definition
29/03/2017
3
Hot areas of AI research
Technologies
• Computer vision
• Audio processing
SENSE
AI
COMPREHEND
ACT
29/03/2017
Solutions
•
•
•
•
•
•
•
•
Deep learning
Natural Language Processing
Collaborative systems
Crowdsourcing and human
computation
Internet of Things (IoT)
Robotics
Large-scale machine learning
Reinforcement learning
Virtual
agents
Identity
analytics
Cognitive
robotics
Recommendation
systems
Data
visualisation
4
29/03/2017
TechRadarTM: Artificial Intelligence Technologies; Q1 ’17
5
29/03/2017
6
AI at companies
AI solutions = Data + Tools + Application
Application framework
 AI + application
 Autonumous machines in industry
sites
 Self parking cars
 Drones with vision
29/03/2017
Tool framework
 First shown up in academic
research, business find the way to
apply these to specific problems
 Deep learning, recommendation
methods, neural networks
7
Cabilities needed when developing AI solutions
End users
IT experts
Business/domain
experts
AI experts
29/03/2017
8
AI R&D strategy
#1
Make long-term investments in AI research.
#2
Develop effective methods for human-AI collaboration.
#3
Understand and address the ethical, legal, and societal
implications of AI.
#4
Ensure the safety and security of AI systems.
#5
Develop shared public datasets and environments for AI training
and testing.
#6
Measure and evaluate AI technologies through standards and
benchmarks.
#7
Better understand the national AI R&D workforce needs.
[3] THE NATIONAL ARTIFICIAL INTELLIGENCE RESEARCH AND DEVELOPMENT STRATEGIC PLAN, U.S. Government, Office of Science
and Technology Policy, October 2016, USA
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9
How we can help you ?
 Application in mind ?
 Bottleneck in process or production ?
 Interested in AI technologies ?
 Looking for AI possibilities in business ?
 Welcome to discuss with us at round table
 Tekoäly koneissa, 6.4.2017 kello 12.00-16.00 Tampere
 http://www.vtt.fi/palvelut/palvelut-pk-yrityksille/pkprojektilähdöt/tekoäly-koneissa
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10
Contact information
Heli Helaakoski
VTT
[email protected]
GSM 040 510 8619
29/03/2017
11
TECHNOLOGY FOR BUSINESS