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