at Japan-UK AI-Robotics Seminar, Feb 18th, 2016

1. How AI Revolutionizes
Robotics and Automotive Industries
Shohei Hido
Chief Research Officer
Preferred Networks, Inc.

2. l Founded: March 2014
l Headquarter: Tokyo, Japan
l Subsidiary: San Mateo, California
l Company size: 30 engineers & researchers
l Investors: NTT (Oct. 2014), FANUC (Sep. 2015), Toyota (Dec. 2015)
Company profile: Preferred Networks, Inc. (PFN)
Deep Learning
(AI technologies)
Industrial IoT

3. AutomotiveHumanoid Robot
Preferred Networks’ positioning in AI: Industrial IoT
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Consumer Industrial
Cloud
Device
PhotoGame
Text
Speech
Infrastructure
Factory
Robot
Automotive
Healthcare
Smart City
Industry4.0
Industrial IoT
Google
DeepMindFacebook
Microsoft

4. 4
How AI revolutionizes Industrial IoT:
Manufacturing and AI companies joining forces
l AI-based intelligence is the key success factor in many industries
l Manufacturers reach to AI technologies for help
l PFN is partnering with the world-leading companies in each industry
– Toyota
– FANUC
– NTT
– Panasonic
– NVIDIA
– Cisco
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5. Cloud
Local
network
Unsupported
vehicle
detection
Optical NW
detection
Mobile NW
Traffic
infrastructure
Automotive: Intelligent Connected-car Platform
l Providing different intelligence applications on cars and across infrastructure
l Architecture using road infrastructure and network devices as a Fog layer
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Intelligent vehicle Intelligent vehicle
Intelligent vehicle
Edge
Fog
Cloud

6. Automotive Demo: Toyota Self-learning Cars @ CES’16
6
Movie: https://www.youtube.com/watch?v=7A9UwxvgcV0
Silver cars autonomously learned
how to avoid obstacles and cars,
including manually controlled red car.
Presented at the Toyota booth
in the main venue of CES this year

7. Robotics: Optimized Factory Machines & Zero Downtime
l Integrated intelligence platform from factory level to edge machines level
l AI can help further improve the utility and efficiency of factories

8. Robotics demo: Intelligent bin-picking robots
@ International Robot Exhibition ’15
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Predict success possibility for each
candidate point with 3D sensors
8 hours training reaches 90% success rate,
the same accuracy with human-guided case
Movie: https://www.youtube.com/watch?v=ydh_AdWZflA
l Robot tries to pick up cylinders as fast and as accurate as possible
l Deep learning automatically learns which picking point is most likely to
succeed.

9. Deep IntelligenceTM in-Motion (DIMo):
Horizontal AI platform across industries
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Automotive
Fog devicesCloud Edge devices
SensorBee™: Intelligent Streaming ETL for IoT
Manufacturing Medical/healthcare
Otherswillbeadded
Self-driving
ADAS/Map
Connected car
Robot behavior
optimization
Factory
automation
Predictive
maintenance
Diagnosis
Drug discovery
Personalized
medicine
Machine learningDeep Learning Statistics
Computer
vision
Detect/Track/
Recognize
Reinforcement
learning
Distributed/
Curriculum
Time-series
RNN /
Representation
Sensor
fusion
Multi-modal
Feedback/Action …
Libraries
DIMo

10. Summary
l Artificial Intelligence increasingly creating tremendous opportunities
not only for consumer products/services but also in industrial applications
l PFN is collaborating with Toyota, FANUC, and others to integrate
deep learning capabilities into automotive and robotics systems
l PFN is looking for partnership in Europe
– Joint R&D or OEM collaborations w/ solid business plan
l PFN is looking for top talent (https://www.preferred-networks.jp/job)
– Researchers: Machine Learning, Robotics, Computer Vision, Bio-healthcare
– Engineers: Distributed Systems, Embedded Device, Data Analytics
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