This document discusses the intersection of machine learning and various technology fields. It identifies 11 fields that machine learning is permeating, including artificial intelligence, data security, biopharma, autonomous driving, blockchain, additive manufacturing, protein engineering, wearables, smart cities, and robotics. It then uses the example of machine learning and medical bionics to illustrate the activity, geography, origin of world class patents, potential inventions, and main players in that domain. The purpose is to show how machine learning relates to different technical areas and how this intersection can be mapped and analyzed.

1. Technology fields and Machine Learning:
A case study
IC-SDV 2019
Nice, France
Anna Maria Villa
Swiss Federal Institute of Intellectual
Property – ip-search
Machine
Learning/AI
Additive
Manufacturing
Biopharma
Protein
Engineering
Robotics
Autonomous
Driving
Wearables
Blockchain
Data Security
Smart City
?

2. Technology is growing in complexity and interdisciplinarity
2
EP3424461US6357074
in early life (1998) in present life (2016)

3. …giving rise to new ecosystems
3
And a.o. to exponential growth of the volume
and complexity of IP related information

4. ip-search: ready-to-use Technology fields in the
PatentSight BI
4

5. 5
AI & machine learning permeates most technical fields I

6. AI&machine learning permeates most technical fields II
6
Machine
Learning/
AI
Additive
Manufacturing
Biopharma
Protein
Engineering
Robotics
Autonomou
s Driving
Wearables
Blockchain
Data
Security
Smart City
?
Multiple technical fields as per
ip-search…

7. 7
AI&machine learning permeates most technical fields III
Artificial intelligence
and …
Data security
Biopharma
Autonomous Driving
Blockchain
Additive Manufacturing
Protein Engineering
Wearables
Smart City
Robotics
PatentAssetIndex
Reporting Date

8. 8
World Class Patents are present in every cluster
Artificial intelligence
and …
Data security
Biopharma
Autonomous Driving
Blockchain
Additive Manufacturing
Protein Engineering
Wearables
Smart City
Robotics
Number of Active Families
AverageStrength

9. 9
World Class Patents: where do they come from ?
Number of Active Families
AverageStrength

10. AI&machine learning and ?
10
Machine
Learning/
AI
Additive
Manufacturing
Biopharma
Protein
Engineering
Robotics
Autonomou
s Driving
Wearables
Blockchain
Data
Security
Smart City
?
Your technical field as per your
definition…

11. Machine Learning and Medical Bionics: Activity
11

12. Machine Learning and Medical Bionics: Geography
12

13. 13
Machine Learning and Medical Bionics:
Origin of world class patents (USA excluded)

14. Technology matrix: in which domains are the main
players active?
14

15. Machine Learning and Medical Bionics: Invention 1
15
https://biodesign.seas.harvard.edu/soft-exosuits

16. 16
Machine Learning and Medical Bionics: Invention 2

17. 17
Machine Learning and Medical Bionics: Invention 3

18. Curious? Would you like to learn more?
• Anna Maria Villa
T +41 31 377 73 46
annamaria.villa@ip-search.swiss
• Manuel Wirz
T +41 31 377 73 75
manuel.wirz@ip-search.swiss
Swiss Federal Institute of Intellectual Property
ip-search
Stauffacherstrasse 65/59g | CH-3003 Bern
18
www.ip-search.swiss

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