23rd January 2020 in Bologna, Italy
The AI for Digitising Industry Symposium – Exploring the Future (AI4DIS 2020) is organised by ECSEL JU project AI4DI, to provide a pan-European platform to exchange information among experts and professionals interested in fundamental advances and applications of AI, with an emphasis on various AI methods and techniques for digitising industry.
The Symposium welcomes all participants aiming to build strong connections between industry and research communities across Europe to address the challenges of AI technologies for electronic components and systems for digitising industry and discuss new trends in AI technologies, standards and deployment aspects on a global scale.
AI4DIS 2020 is a venue for researchers, scientists, system developers, manufacturers, practitioners and standardization experts to share a joint interest in the research and developments of the AI, embedded systems, communication and IIoT technologies for the digital transformation of industry.
In this context, on behalf of the ECSEL JU projects addressing AI and embedded systems developments for digitising industry, we would like to welcome you to the AI for Digitising Industry Symposium – Exploring the Future which will take place in Bologna, Italy on 23rd January 2020.
The goal of the Symposium is to present the activities related to AI embedded in electronic components and systems and emphasis the involvement of the partners from different European countries and capture the interest of the public authorities, the industry, research and academia in Emilia-Romagna Region in Italy, while connecting with the Lighthouses E.Mobility, Industry4.E, and ECA2030 ECSEL JU initiatives.
KEY TOPICS
The AI for Digitising Industry Symposium – Exploring the Future (AI4DIS 2020) will focus on technology-based innovation embedded AI methods and techniques addressing the present and future industry value chains.
The perception of the AI technologies by European citizens and the industrial sectors that it affects play an important role in the wider adoption debate of AI technologies. Consumer AI technologies are a prime example where citizens are directly exposed to these technologies. Industrial AI solutions may lack direct consumer scrutiny, nevertheless societal perception has an impact on how unions perceive introduction of AI technologies, how management decision on investment are being made and how policy makers decide upon regulations.
This requires addressing the challenges that digitising industry and the integration of AI -based components, techniques, methods and applications will bring to various industrial sectors by providing new reference architecture concepts, methodologies, new Silicon-Born-AI components supporting the development of AI-Born embedded systems and the integration into AI-Born industrial systems, design languages, application generators, design automation and respective standardisation to accelerate bringing these technologies into industrial applications.
In this context, the topics address covers the following areas:
- Constraints on and drivers of embedded AI for digitising industry.
- Innovations in embedded AI and the integration of AI -based components, techniques, methods and applications over the technology layers
- Silicon-Born-AI components and new computing platforms, embedded systems are necessary to support the emerging AI algorithms and applications from system level to circuit level
- Edge computing, IIoT platforms, intelligent connectivity and AI integration
- Trustworthy AI for digitising industry
- AI-Born embedded systems and the integration into AI-Born industrial systems
- AI-based electronic systems modelling, simulation and testing
- AI-based design languages, application generators, design automation
- AI-based platforms for training and learning
- Global standardisation developments for embedded AI and their impact on industrial manufacturing
- Trends and roadmaps in AI-based electronic components and systems technology
- Practical industrial applications and implementations
- Embedded AI policy issues
VENUE
Bologna Congressi S.p.a. - Polo Congressuale, Piazza Costituzione, 4/A - 40128
Bologna, Italy
Plenary session: Salla Azzurra
PRESENTATIONS
Session 1
Computer Vision - Industrial Use Case Donato Laico - SACMI
AI for Digitizing Industry policies Calderaro NCP-APRE
Audi Smart Factory - Production Meets AI Daniel Plorin - AUDI
AI for Wine and Champagne Industry Rachel Ouvinha De Oliveira - VRANKEN-POMMERY
BI-REX & IoTwins Francesco Millo - BONFIGLIOLI
Session 2
Success stories of Edge Computing and AI in Industry Marcello Coppola - STM
AI as opportunity for VLS Chip Analysis Ann-Christin Bette, Matthias Ludwig - INF
Success Stories of Edge Computing and AI in Industry Enrico Callegati - SCM
AI applied to Calibration Violi - HPE COXA
Session 3
Artificial Intelligence for Industries Reiner John - INF
Arrowhead Tools Tullio Cinotti - UNIBO
NextPerception Gianluigi Ferrari - UNI Parma
Super Computing Application & Innovation Sanzio Bassini - Cineca
AI for Digitizing Industry Policies Marta Calderaro - NCP APRE
ALMA-AI in the EU Ecosystem Michela Milano - UNIBO
Overview of AI Technologies and Applications in ECSEL Projects Georgi Kuzmanov - ECSEL
Smart Data and Artificial Intelligence Strategy in Emilia Romagna Patrizio_Bianchi