TRF Workshop on AI and Brain Science

1. Shaping our AI (Strategy)?
Virach Sornlertlamvanich
SIIT, Thammasat University
Chair of RUN Digital Cluster
Head of CRDC-SIIT University-Industry Link
http://virach.com/, virach@gmail.com
Workshop on Artificial Intelligence and Brain Science, TRF, March 7, 2018

2. What does AI look like in the
recent days?
How are we gonna shape our AI
(strategy)?
Workshop on Artificial Intelligence and Brain Science, TRF, March 7, 2018

3. What is AI?
• From a behavioral point of view, is an artificial
agent that shows certain characteristics of
intelligence like:
• Reasoning
• Knowledge representation
• Knowledge acquisition
• Planning
• Perception
ó Regression
ó Deep learning
ó Modeling
ó Prediction
ó Recognition
Workshop on Artificial Intelligence and Brain Science, TRF, March 7, 2018

4. What is AI?
• Behavioral test = Turing Test
If I write an enough complex If-then-else structure,
could it pass the test?
• Random behavior?
Alan Turing
Turing Test as a tool to understand whether "machines can think".
Searle's Chinese Room argument 1980 in "Minds, Brains, and Programs”
Workshop on Artificial Intelligence and Brain Science, TRF, March 7, 2018

5. Different Field within AI
Artificial Intelligence
• General AI
• Vertical AI (Expert Systems)
• Natural Language Processing
• Computer Vision
• Machine Learning
• ...
Workshop on Artificial Intelligence and Brain Science, TRF, March 7, 2018

6. Multilayered neural
networks to vast amounts
of data
Enable machines to
improve at tasks with
experience
Mimic human intelligence
using logic, if-then rules,
decision trees, machine
learning and deep learning
Deep Learning (Neural learning from data with high quality, but imperfect results)
Watson (Associative learning from data with high quality, but imperfect results)
Semantic Web (Knowledge graph links formation from extraction, clustering and learning)
Modern AI is making some huge strides
Workshop on Artificial Intelligence and Brain Science, TRF, March 7, 2018

7. Evolution of NLP
Deep Learning for NLP, Yves Peirsman, NLPTown at Sentiance
1950s
1990 20??
2012
Statistical NLP
Rule-based NLP Deep Learning
• Hand-written linguistic rules
• Knowledge models
• Comeback of neural networks
• Unified framework for many problems
• Machine learning from data
• Many different models
Workshop on Artificial Intelligence and Brain Science, TRF, March 7, 2018

8. 3 Big AI Research Centers in Japan
• AIRC by AIST
• 2015
• Focusing on translational research
• Researchers: 77 (2015) -> 400++ (2017)
• 20-50 members in each research team
• AIP by Riken
• Fundamental research
• AIS by NIST
Workshop on Artificial Intelligence and Brain Science, TRF, March 7, 2018

9. AI
Ontology /
Knowledge
Simulation
/ Multi-
agent
Machine
Learning
AIRC/AIST, Japan
Sensing Recognition Modeling Planning Action
Inference
HPC for AI
AI x RobotAI x IoT
Data acquisition
Recognition
Action, Planning
and Execution
Prof. Dr. Jun-ichi Tsujii
Target areas
1. Mobility
2. Productivity
3. Healthcare, Welfare
4. Safety, Security
Development in 3-layers for collaboration
L3: Shared Tasks and Benchmark Data
Geo, Life, Robot, Science
L2: AI Framework and Advanced Modules
Data acquisition, Recognition, Planning, NLP
L1: Large-scale fundamental Research
Machine Learning, Probabilistic, Brain-inspired
AI, Data, Knowledge

10. DFKI, Germany
German Research Center for Artificial Intelligence
(Deutsches Forschungszentrum für Künstliche Intelligenz)
• Since 1988
• 900 researchers (510 employees), 80 spin-offs
• World largest AI research center
• PPP/JV on AI
• Develop Open Platform for
• Setting up network for industry and research
• Academia
• Industry
• Collaboration framework
• Digital reality to scale AI
• CERN of AI
Prof. Dr. Philipp Slusallek
Workshop on Artificial Intelligence and Brain Science, TRF, March 7, 2018

11. Data Science Institute (DSI), USC, US
• Data science platforms
DSI
Data Platform
Societal impact
Research publication
Technology transfer
Real world
problem
Prof. Dr. Cyrus Shahabi
Workshop on Artificial Intelligence and Brain Science, TRF, March 7, 2018

12. Total View
• EU: Single funding
• US: No operation fund because private can do
• JP: 3 big AI centers
(AIST/AIST, AIP/Riken, AIS/NICT)
Fragmented funding
• Korea: Human interactive robot
VTT (VDO Turing Test) grand challenge
• Taiwan: MOST AI innovation research center est.
Talk to AI grand challenge, AI and healthcare
• Singapore: Language intelligence
www.aisingapore.org
Byoung-Tak Zhang, SNU
Hsin-His Chen, NTU
Haizhou Li, NUS
Cyrus Shahabi, USC
Philipp Slusallek, DFKI
Jun-ichi Tsujii, AIRC
Workshop on Artificial Intelligence and Brain Science, TRF, March 7, 2018

13. Samples of R&D Projects (AIRC)
• Object image recognition
• Solar panel recognition from satellite
image
• Wildfire detection
• Multi-scale map
• Seamless 3D map (city to room)
• Crowd movement (tracking,
simulation) for evacuation drill by
simulation
• VDO captioning
• Stock market report generation
• Read paper -> find relation
knowledge
• Data collection to monitor daily
behavior change from various
location (from child to elderly)
• Molecular level
• Regenerative medicine
• Drug discovery
• Engineering
• Data Acquisition Platform
• Shared testing factory
• Retail store mockup environment
• Bio-lab automation (Maholo robot)
• Computing environment
• ABCI is expected to launch in spring
2018
• 2,000++ GPU
• World first largest scale open AI
infrastructure
• Open for public dedicated for AI, Big
data, algorithm, software, application
• Open innovation platform for joint
academy-industry
KW: Image detection, seamless map, tracking, simulation
Workshop on Artificial Intelligence and Brain Science, TRF, March 7, 2018

14. Samples of R&D Projects (DFKI)
• Intelligent Human Simulation factory (Daimler)
• Collab robot and simulation reality (VW)
• Autonomous driving vehicle
• Digital reality to generate critical situation (very
small set of training data comparing to typical
situation)
• Should combine AI theory and Deep Learning
• Deep Learning is a black box (dangerous)
KW: Industry-link, digital reality, simulation
Workshop on Artificial Intelligence and Brain Science, TRF, March 7, 2018

15. Samples of R&D Projects (USC)
• Transportation
• ADMS, Metro project
• Social Media
• UGV search (MediaQ) -> GeoQ
• Smart phone = GPS, compass, clock
• Health
• Wearable activity by Kinect and Wristband (MS)
• Integrated Micro (2-5 min, high resolution) and Macro (noisy longtime) data
analysis -> manage disease better
• Smart City
• DSI private cloud: merge all datasets into a single platform for Data and Code
sharing
KW: Media search, image detection, data platform, crowdsourcing
Traffic data Data Processing Storage Analysis/visualization
RIITS 46 MB/min 26 MB/min
11 TB/year
Real-time
Traffic forecasting
Workshop on Artificial Intelligence and Brain Science, TRF, March 7, 2018

16. Seeds/Needs/Data Matching eco-system
and co-creative innovation
(more than 150 partners in 2017)
Members:
Researcher, engineers,
consultants from companies,
hospitals, universities, AIST…
AIST
Seeds:
AI Technology
Data
Needs
Common base
Resource
Working
Group A
Working
Group Z
Applications
Evaluation
Cases Start
pilot
project
Generalization
and Sharing
Feedback
Best practice and
Standardize the case
Workshop on Artificial Intelligence and Brain Science, TRF, March 7, 2018

17. Working groups in 2017
Human life WG
Use-case WG
Manufacturing
WG
Data platform
WG
Data Knowledge
integration WG
Data mining WG AI tool WG
AI living lab WG
Kansai area
WG
Kyushu area
WG
Tokai area
WG
Applications
Common
platforms
Seeds
(Data Science,
Engineering)
Workshop on Artificial Intelligence and Brain Science, TRF, March 7, 2018

18. Action
Execution
Control
Input
Acquisition
Recognition
Comparable AI Frameworks
Data Processing Storage Analysis
AI x RobotAI x IoT
Visualization
Sensing Recognition Modeling Planning Action
Accumulating Knowledging Understanding Solving
Data Visualization
Workshop on Artificial Intelligence and Brain Science, TRF, March 7, 2018