1、2021 WHITE PAPERAI AT THE EDGEAI AT THE EDGE2021 WHITE PAPER 1 POTENTIAL OF AI AT THE EDGE FOR SMART SYSTEMS3Content1 Introduction to“AI at the Edge”for Smart Systems .51.1 How to read this document .51.2 Artificial intelligence at the Edge:introduction to the topic .61.2.1 Definition of“AI at the E

2、dge”.61.3 Impact for the European Smart Systems industry and market .71.4 Technical advantages and opportunities of AI at the Edge .71.5 Cost effectiveness .82 Applications for“AI at the Edge”.92.1 Automotive and multi-modal mobility .92.1.1 Vehicle intelligence and V2X communication.92.1.2 Occupant

3、 activity“understanding”.92.1.3 Air path control and diagnostics .102.1.4 Battery lifecycle management .102.1.5 Thermal management of the powertrain .102.1.6 Autonomous(Inland)ships by Project A-Swarm .112.1.7 Massive sensor technology and networks .112.2 Energy .122.2.1 Smart Grid .122.2.2 Smart bu

4、ildings .132.3 Digital Industry .142.3.1 Predictive maintenance .142.3.2 Reliable prevention of early failures .142.3.3 Robot co-working .142.4 Health and wellbeing .152.4.1 Vital sensing with radar.152.4.2 Personalised medicine .152.4.3 Affective computing(“AI of emotions”).162.4.4 Sport analytics

5、.162.4.5 Physiological monitoring .172.5 Agriculture,Farming and Natural Resources .172.5.1 Automated weeding .172.5.2 Drones for precision agriculture .182.5.3 Soil control .182.6 Smart Cities .192.6.1 Smart streetlights .192.6.2 Air quality .192.6.3 Alarm Systems .19EPoSS WHITE PAPER AI at the Edg

6、e43 State-of-the-art of“AI at the Edge”.213.1 Edge AI for smarter systems .213.2 Hardware for edge AI .223.3 Machine learning models for edge AI .243.4 Distributed learning at the Edge .253.5 Frameworks and platforms for AI at the Edge .263.6 Orchestration of AI between cloud and edge resources .273