Extending European Strength with Embedded AI
summary
Argues that processing moves from cloud to embedded AI as a continuum, claiming millisecond control needs imply servers <100 km away and many use cases must run locally for privacy and energy reasons; cites estimates like ~35 billion cameras worldwide and a ~$100 billion component market, predicts a 2025 crossover in cloud vs edge share. Shows demos where radar and sensor fusion handle occupancy, gesture and stress radar heartbeat detection, replaces cameras while running on battery and meeting functional safety constraints.
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chapters (12)
- 0:00Embedded AI in Europe
- 1:30Why embedded AI matters
- 3:15Cloud to embedded transition
- 5:44Industry applications
- 7:31Ethical considerations
- 8:37Smart speakers
- 11:06Human-machine interaction
- 14:40Predictive maintenance
- 15:44Validation challenges
- 17:31Building ecosystem
- 18:55Future opportunities
- 19:16Q&A
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