Machine Learning & Artificial Intelligence

Erik HjerpeVolvo Car Group

Machine Learning & Artificial IntelligencePresentation overview

Recent breakthrough – new possibilitiesDomains affected within automotive

Some automotive examples

Organisational setupCapabilities created

Summary

Pres ML&AI Knowit E.Hjerpe 91110

Machine Learning & Artificial Intelligence

Recent breakthrough – new possibilitiesDomains affected within automotive

Pres ML&AI Knowit E.Hjerpe 91110

ML & AI

Modelling of Unknown System StructuresEnhanced Modelling of Complex System Structures

Enabling

Hand coded to ML

ML/

AI

Bre

ak

thro

ug

h

No of board configurations > no of atoms in the Universe.

AlphaGO (2016)

GO - Won 4 of 5 against Lee Sedol,

World Champ

Using Deep-learning Learned by mimicking human masters and from playing

against itself. Can’t be solved by predefined algorithms.

Hand coded rules

Exhaustively searched through potential chess moves.

IBM Deep Blue (1997)

Chess - Won against KasparovAI

Recent Breakthrough - New Possibilities

Pres ML&AI Knowit E.Hjerpe 91110

ML & AI

Additional Breakthrough Factors

• Amount of data available (Internet of Things, connected devices)

• Processing power (Powerful Graphic Processing Units)

ML & AI

Domains affected within automotive

• R&D

o Applicationso Services

• Human Resources

• Facility Management• Logistics

• Manufacturing

• Quality• Market Intelligence

• Marketing

• Finance• Sales

• IT

• ........

Pres ML&AI Knowit E.Hjerpe 91110

Machine Learning & Artificial Intelligence

Some automotive examples

Pres ML&AI Knowit E.Hjerpe 91110

ML & AI

Cognitive Computing – Intelligent Assistant

Use Machine Learning to interpret ”real” speech.

- Understand dialects, interpret slang, translate

- Create intelligent answers on complex questions

R&D - Applications

Pres ML&AI Knowit E.Hjerpe 91110

ML & AI

Deep Learning - Autonomous Drive

Use Machine Learning to interpret signals for

autonomous drive.

• Image recognition and interpretation

R&D - Applications

Pres ML&AI Knowit E.Hjerpe 91110

Machine Learning & Artificial Intelligence

Organisational setup

Capabilities created

Pres ML&AI Knowit E.Hjerpe 91110

ML & AICross functional collaboration

• ML and AI affects multiple domains within automotive• To avoid parallel and redundant work this requires

cross functional collaboration• To create common processes, methods and tools a

new hybrid organisation setup has been introduced

Pres ML&AI Knowit E.Hjerpe 91110

• Pilot projects → Learn fast

• Building HW + SW platforms

• Process-Methods-Tools

• Define data and information need

ML & AI Capabilities

How do We Achieve the Objectives?

Pres ML&AI Knowit E.Hjerpe 91110

Machine Learning & Artificial Intelligence

Summary

Pres ML&AI Knowit E.Hjerpe 91110

Machine Learning & Artificial Intelligence

Summary

• ML/AI breakthroughs has created many new possibilites

• Possible effect in many domains within automotive

• Hybrid setup used to connect company ML/AI activities

• Pilot projects run to learn fast and to span demand space

• Creating collaboration, generic capabilities and common

processes, methods and tools

Pres ML&AI Knowit E.Hjerpe 91110